Triple
T1187395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue de Valois |
E25277
|
entity |
| Predicate | hasNotableFunction |
P88
|
FINISHED |
| Object | administrative center for cultural affairs |
—
|
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: administrative center for cultural affairs | Statement: [Rue de Valois, hasNotableFunction, administrative center for cultural affairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFunction Context triple: [Rue de Valois, hasNotableFunction, administrative center for cultural affairs]
-
A.
hasNotableFeature
Indicates that an entity possesses a specific characteristic, trait, or attribute that is considered significant or noteworthy.
-
B.
hasPrimaryFunction
chosen
Indicates that one entity serves as the main or principal function or role of another entity.
-
C.
hasNotableImplementationAt
Indicates that something has a significant or noteworthy implementation located at or associated with a particular place, context, or platform.
-
D.
notableMethod
Indicates that a particular method, technique, or approach is especially significant, recognized, or noteworthy in relation to the associated entity.
-
E.
notFunction
Indicates that the specified entity does not serve as a function or is not used in a functional role within the given context.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd5578b08190bbe4089857fbf166 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.