Triple
T533680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tasmania |
E12278
|
entity |
| Predicate | hasISOCode |
P189
|
FINISHED |
| Object |
AU-TAS
AU-TAS is the ISO 3166-2 code representing the Australian state of Tasmania.
|
E66652
|
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: AU-TAS | Statement: [Tasmania, hasISOCode, AU-TAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AU-TAS Context triple: [Tasmania, hasISOCode, AU-TAS]
-
A.
ATAS
ATAS is the commonly used acronym for the Academy of Television Arts & Sciences, the organization best known for administering the Primetime Emmy Awards.
-
B.
ATN
ATN most likely refers to Augmented Transition Network, a type of finite state machine used in computational linguistics and natural language processing for parsing sentences.
-
C.
AT4
AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
-
D.
ATF
ATF is a United States federal law enforcement agency responsible for regulating and investigating crimes involving alcohol, tobacco, firearms, explosives, and arson.
-
E.
TPA
TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
- 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: AU-TAS Triple: [Tasmania, hasISOCode, AU-TAS]
Generated description
AU-TAS is the ISO 3166-2 code representing the Australian state of Tasmania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AU-TAS Target entity description: AU-TAS is the ISO 3166-2 code representing the Australian state of Tasmania.
-
A.
ATAS
ATAS is the commonly used acronym for the Academy of Television Arts & Sciences, the organization best known for administering the Primetime Emmy Awards.
-
B.
ATN
ATN most likely refers to Augmented Transition Network, a type of finite state machine used in computational linguistics and natural language processing for parsing sentences.
-
C.
AT4
AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
-
D.
ATF
ATF is a United States federal law enforcement agency responsible for regulating and investigating crimes involving alcohol, tobacco, firearms, explosives, and arson.
-
E.
TPA
TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a494e202348190a6e5110109703a69 |
completed | March 1, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b8b002688190b7cf2e2f4b4433bf |
completed | March 1, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69a4bbb9159c81908b82b7dd24a7b0c4 |
completed | March 1, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4bc47505c81909700486be643beb0 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:32 p.m.