Triple
T37990961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lion d'Or inn |
E947821
|
entity |
| Predicate | hasPossibleAssociation |
P164763
|
FINISHED |
| Object | cultural history |
—
|
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: cultural history | Statement: [Lion d'Or inn, hasPossibleAssociation, cultural history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPossibleAssociation Context triple: [Lion d'Or inn, hasPossibleAssociation, cultural history]
-
A.
hasCanonicalAssociation
Indicates that one entity is formally recognized as the standard or authoritative counterpart associated with another entity.
-
B.
hasPrimaryAssociation
Indicates that one entity is chiefly or most directly connected, linked, or related to another among possible associations.
-
C.
hasConnectionPotential
chosen
Indicates that there exists a possibility or capacity for a meaningful connection or relationship to form between the entities.
-
D.
hasDimensionAssociation
Indicates an association between an entity and one or more of its dimensions, such as size, length, width, height, or other measurable extents.
-
E.
hasPlanningAssociation
Indicates a relationship where one entity is involved with, linked to, or considered in the planning or preparation activities of another entity.
- 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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffff262fac8190a26ed0577e1860bd |
completed | May 10, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69fffcad7d7c8190a4ad7bb35e33bb75 |
completed | May 10, 2026, 3:34 a.m. |
Created at: May 3, 2026, 4:20 p.m.