Triple
T1298096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annex 4: Plurilateral Trade Agreements |
E27698
|
entity |
| Predicate | isAnnexNumber |
P7777
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Annex 4: Plurilateral Trade Agreements, isAnnexNumber, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAnnexNumber Context triple: [Annex 4: Plurilateral Trade Agreements, isAnnexNumber, 4]
-
A.
annexCount
chosen
Indicates the number of annexes or supplementary parts associated with a primary entity or document.
-
B.
annex
Indicates the act of formally incorporating one entity, typically a territory, into the domain or control of another.
-
C.
annexedBy
Indicates that one entity has been incorporated into and brought under the control or sovereignty of another entity.
-
D.
isNumbered
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
E.
isSectionNumber
Indicates that one entity is the section number identifier associated with another entity, typically within a structured document or text.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.