Triple
T6610932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papua New Guinea national rugby league team |
E149233
|
entity |
| Predicate | governingBodyAbbreviation |
P2886
|
FINISHED |
| Object |
PNGRFL
PNGRFL is the national governing body responsible for organizing and overseeing rugby league in Papua New Guinea.
|
E608244
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: PNGRFL | Statement: [Papua New Guinea national rugby league team, governingBodyAbbreviation, PNGRFL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PNGRFL Context triple: [Papua New Guinea national rugby league team, governingBodyAbbreviation, PNGRFL]
-
A.
PNG
PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
-
B.
Nu Image
Nu Image is a film production company known for producing a wide range of genre movies, including action, thriller, and crime dramas.
-
C.
PIX
PIX (Patient Identifier Cross-referencing) is an IHE IT Infrastructure profile that enables the cross-referencing and sharing of patient identifiers across multiple clinical information systems and institutions.
-
D.
WireImage
WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
-
E.
Phoenix Pictures
Phoenix Pictures is an American film production company known for producing critically acclaimed movies such as "Black Swan" and "The Thin Red Line."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PNGRFL Triple: [Papua New Guinea national rugby league team, governingBodyAbbreviation, PNGRFL]
Generated description
PNGRFL is the national governing body responsible for organizing and overseeing rugby league in Papua New Guinea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PNGRFL Target entity description: PNGRFL is the national governing body responsible for organizing and overseeing rugby league in Papua New Guinea.
-
A.
PNG
PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
-
B.
Nu Image
Nu Image is a film production company known for producing a wide range of genre movies, including action, thriller, and crime dramas.
-
C.
PIX
PIX (Patient Identifier Cross-referencing) is an IHE IT Infrastructure profile that enables the cross-referencing and sharing of patient identifiers across multiple clinical information systems and institutions.
-
D.
WireImage
WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
-
E.
Phoenix Pictures
Phoenix Pictures is an American film production company known for producing critically acclaimed movies such as "Black Swan" and "The Thin Red Line."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af34d9188190a40f682f985b0bac |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e43f14148190882b9b8f2f95e22c |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e8584bd08190bb45747aca6e9327 |
completed | March 27, 2026, 8:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e8dcc9bc819099ba39f67677195b |
completed | March 27, 2026, 8:30 p.m. |
Created at: March 27, 2026, 1:57 p.m.