Triple
T16325229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rouvres (Val-d'Oise) |
E396393
|
entity |
| Predicate | belongsToUN |
P122722
|
FINISHED |
| Object | France is UN member state |
—
|
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: France is UN member state | Statement: [Rouvres (Val-d'Oise), belongsToUN, France is UN member state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToUN Context triple: [Rouvres (Val-d'Oise), belongsToUN, France is UN member state]
-
A.
belongsToLine
Indicates that an entity is a member or component of a particular line or linear grouping.
-
B.
belongTo
Indicates that one entity is a member, part, or property of another entity, signifying ownership, inclusion, or association.
-
C.
belongsToInteraction
Indicates that one entity is part of, or associated as a component within, a specific interaction event or process.
-
D.
belongsToEon
Indicates that something is a member or part of a specific eon in a temporal or classificatory hierarchy.
-
E.
belongsToJuz
Indicates that something is a part of or contained within a specific juz (section or division).
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b9dcb88190beb0ca2206729175 |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:06 a.m.