Triple
T2550911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TPRM |
E56621
|
entity |
| Predicate | reviewFormat |
P40782
|
FINISHED |
| Object | question-and-answer sessions among WTO members |
—
|
LITERAL FINISHED |
How this triple was built (2 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: question-and-answer sessions among WTO members | Statement: [TPRM, reviewFormat, question-and-answer sessions among WTO members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reviewFormat Context triple: [TPRM, reviewFormat, question-and-answer sessions among WTO members]
-
A.
reviewAggregator
Indicates that an entity functions as a collector and summarizer of reviews or ratings about other entities.
-
B.
ratingDescription
Indicates the textual explanation or qualitative summary associated with a given rating or score.
-
C.
reviewedBy
Indicates that an item, work, or action has been examined and evaluated by a specific agent or reviewer.
-
D.
editorialReputation
Indicates the perceived quality, reliability, and integrity of an entity’s editorial practices or content.
-
E.
peerReview
Indicates that one entity evaluates, critiques, or validates the work or performance of another entity, typically as an equal in expertise or status.
- F. None of above. chosen
Provenance (4 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd5a33234819082ad49fa6594b6be |
completed | March 7, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69abd0c8b6f08190a68645db3e8b779a |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd5a1cd508190a660b9a3c6b7cbcb |
completed | March 7, 2026, 7:37 a.m. |
Created at: March 6, 2026, 9:48 p.m.