Triple
T24827003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Gizeux |
E621219
|
entity |
| Predicate | regionTourismDesignation |
P62013
|
FINISHED |
| Object | Châteaux of the Loire Valley |
—
|
NE NERFINISHED |
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: Châteaux of the Loire Valley | Statement: [Château de Gizeux, regionTourismDesignation, Châteaux of the Loire Valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionTourismDesignation Context triple: [Château de Gizeux, regionTourismDesignation, Châteaux of the Loire Valley]
-
A.
touristDesignation
chosen
Indicates that a place or entity has been formally identified or labeled as a tourist attraction or destination.
-
B.
religiousDesignation
Indicates the specific religious role, status, or affiliation assigned to an entity.
-
C.
earthDesignation
Indicates that an entity has a specific name or label assigned to it for use in an Earth-based or human-centric context.
-
D.
mapDesignation
Indicates a formal label or identifier that is assigned to something specifically for use on a map.
-
E.
stateDesignation
Indicates that an entity has been formally assigned or recognized with a particular status, title, or classification by an official authority or governing body.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 18, 2026, 5:05 a.m.