Triple
T4753530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WTO Secretariat |
E105531
|
entity |
| Predicate | servesMembers |
P11687
|
FINISHED |
| Object | WTO member governments |
—
|
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: WTO member governments | Statement: [WTO Secretariat, servesMembers, WTO member governments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesMembers Context triple: [WTO Secretariat, servesMembers, WTO member governments]
-
A.
membersServeInCapacity
Indicates that members perform duties or hold roles in a specified official or functional capacity.
-
B.
confersToMembers
Indicates that something grants or bestows a benefit, right, or attribute to the members of a specified group.
-
C.
mayServe
Indicates that one entity is permitted or authorized to provide a service or function to another entity.
-
D.
servesRole
chosen
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
-
E.
servesUsers
Indicates that an entity provides services, functionality, or benefits to one or more users.
- F. None of above.
Provenance (3 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64e72d1c81908eb60960751e52b1 |
completed | March 20, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:20 p.m.