Triple
T8324379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walkern |
E194912
|
entity |
| Predicate | isHistoricVillage |
P59339
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Walkern, isHistoricVillage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHistoricVillage Context triple: [Walkern, isHistoricVillage, true]
-
A.
hasHistoricVillageArea
chosen
Indicates that an entity includes or is associated with an area recognized as a historic village or traditional settlement zone.
-
B.
isHistoricPlace
Indicates that a place holds recognized historical significance, often due to its age, events, or cultural importance.
-
C.
containsHistoricTown
Indicates that one entity geographically includes or encompasses a town that has recognized historical significance.
-
D.
hasHistoricCenterStatus
Indicates that an entity has been designated or recognized as a historic center, typically due to its cultural, architectural, or historical significance.
-
E.
isHistoricQuadrangleOf
Indicates that one entity is a historically significant quadrangle (a four-sided courtyard or enclosed area) that belongs to, or is a defining part of, another entity such as a campus, complex, or site.
- 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_69ca82e7a8a88190a32bb5cc0feb012d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f7e4f8081908e0f876ad962c932 |
completed | March 31, 2026, 8:02 a.m. |
| PD | Predicate disambiguation | batch_69cb70bf689c8190a9d9b6b872abf53d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:56 p.m.