Triple
T121009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministerial Conference |
E2443
|
entity |
| Predicate | canAdopt |
P7771
|
FINISHED |
| Object | interpretations of WTO agreements |
—
|
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: interpretations of WTO agreements | Statement: [Ministerial Conference, canAdopt, interpretations of WTO agreements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canAdopt Context triple: [Ministerial Conference, canAdopt, interpretations of WTO agreements]
-
A.
hasShelters
Indicates that one entity provides, contains, or is associated with one or more shelters for another entity or purpose.
-
B.
officialAdoptionYear
Indicates the year in which something (such as a policy, standard, symbol, or practice) was formally adopted or officially put into use.
-
C.
adoptedAt
Indicates the time or date at which an adoption event took place.
-
D.
adopted
Indicates that one entity has legally taken another (often a child or animal) into its family or care as a permanent member.
-
E.
adoptedBy
Indicates that an entity has been taken in and legally or formally accepted as a child, member, or responsibility by another entity.
- 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a258fd278481908ad4498e03f38e2f |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a25647fe6081908cb0405266d35ff5 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a258fbd18881908c9d40f7a2480945 |
completed | Feb. 28, 2026, 2:54 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.