Triple
T13245644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middleway, West Virginia |
E315394
|
entity |
| Predicate | isHistoricDistrictCandidate |
P108724
|
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: [Middleway, West Virginia, isHistoricDistrictCandidate, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHistoricDistrictCandidate Context triple: [Middleway, West Virginia, isHistoricDistrictCandidate, true]
-
A.
hasHistoricDistrict
Indicates that an entity possesses or contains a designated historic district within its boundaries or domain.
-
B.
hasHistoricDistrictAssociation
Indicates a relationship in which an entity is associated with, linked to, or part of a designated historic district.
-
C.
sharesHistoricDistrictWith
Indicates that two entities are located within or associated with the same designated historic district.
-
D.
isHistoricPlace
Indicates that a place holds recognized historical significance, often due to its age, events, or cultural importance.
-
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. 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5c09f88190bb1566a6d8c073a6 |
completed | April 10, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69d98bcca7d88190a3e68e99ed3a29e6 |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:23 p.m.