Triple
T3456382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conference of the States Parties |
E72912
|
entity |
| Predicate | typeOfBodyWithinOPCW |
P26910
|
FINISHED |
| Object | principal organ |
—
|
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: principal organ | Statement: [Conference of the States Parties, typeOfBodyWithinOPCW, principal organ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBodyWithinOPCW Context triple: [Conference of the States Parties, typeOfBodyWithinOPCW, principal organ]
-
A.
typeOfBody
Indicates that one entity is the classification or kind of physical body that the other entity is.
-
B.
publicBodyType
chosen
Indicates the classification or category of a public body (such as its organizational or legal type) within a governmental or public-sector context.
-
C.
includesTypeOfBody
Indicates that one entity encompasses or contains another entity classified as a specific type of body (e.g., physical, celestial, or organizational body).
-
D.
belongsToBody
Indicates that something is a part of, or under the ownership/authority of, a particular body or organization.
-
E.
supportsBodyType
Indicates that one entity is compatible with, designed for, or can accommodate a specified body type.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa9837c8190aafd618c6af3446e |
completed | March 8, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69adae041d588190a84a02bca94adec8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.