Triple
T4619943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P. League+ |
E100951
|
entity |
| Predicate | hasHashtag |
P2920
|
FINISHED |
| Object |
#PLEAGUE
#PLEAGUE is the official social media hashtag used to discuss and follow content related to Taiwan’s professional basketball league, P. League+.
|
E459175
|
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: #PLEAGUE | Statement: [P. League+, hasHashtag, #PLEAGUE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: #PLEAGUE Context triple: [P. League+, hasHashtag, #PLEAGUE]
-
A.
PLG
PLG is a regional coalition of Polynesian countries and territories that collaborates on shared political, economic, social, and environmental issues in the Pacific.
-
B.
PLAF
PLAF is an abbreviation commonly used to refer to the Polish Air Force, the air warfare branch of Poland’s armed forces.
-
C.
PSL
PSL is the commonly used abbreviation for the Physical Sciences Laboratory, a research facility focused on advancing knowledge and technology in the physical sciences.
-
D.
The League
The League is the common shorthand for The Broadway League, the national trade association representing the Broadway theater industry.
-
E.
Plaka
Plaka is a historic neighborhood in central Athens known for its picturesque streets, neoclassical architecture, and proximity to the Acropolis.
- 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: #PLEAGUE Triple: [P. League+, hasHashtag, #PLEAGUE]
Generated description
#PLEAGUE is the official social media hashtag used to discuss and follow content related to Taiwan’s professional basketball league, P. League+.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: #PLEAGUE Target entity description: #PLEAGUE is the official social media hashtag used to discuss and follow content related to Taiwan’s professional basketball league, P. League+.
-
A.
PLG
PLG is a regional coalition of Polynesian countries and territories that collaborates on shared political, economic, social, and environmental issues in the Pacific.
-
B.
PLAF
PLAF is an abbreviation commonly used to refer to the Polish Air Force, the air warfare branch of Poland’s armed forces.
-
C.
PSL
PSL is the commonly used abbreviation for the Physical Sciences Laboratory, a research facility focused on advancing knowledge and technology in the physical sciences.
-
D.
The League
The League is the common shorthand for The Broadway League, the national trade association representing the Broadway theater industry.
-
E.
Plaka
Plaka is a historic neighborhood in central Athens known for its picturesque streets, neoclassical architecture, and proximity to the Acropolis.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e3e6948190925e2cfad20dcc8c |
completed | March 20, 2026, 2:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa95bd6c8190ad33e52b338560a6 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb5502c48190b7679941b83e6e0c |
completed | March 21, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdff53680c8190a62aace0f0c9f3b3 |
completed | March 21, 2026, 2:15 a.m. |
Created at: March 20, 2026, 1:12 p.m.