Triple
T6337836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladikavkaz Fortress remains |
E142535
|
entity |
| Predicate | hasCityOriginFunction |
P8346
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Vladikavkaz Fortress remains, hasCityOriginFunction, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityOriginFunction Context triple: [Vladikavkaz Fortress remains, hasCityOriginFunction, yes]
-
A.
hasOriginIn
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
-
B.
hasOriginFeature
Indicates that an entity possesses a specific characteristic, attribute, or feature related to its origin or source.
-
C.
hasTargetCity
Indicates that something is directed toward, intended for, or specifically associated with a particular city as its target.
-
D.
hasUrbanFunction
chosen
Indicates that an entity serves a specific role or purpose within an urban context, such as providing services, infrastructure, or activities typical of a city environment.
-
E.
hasEndpointCity
Indicates that a route, connection, or path terminates at a particular city as one of its endpoints.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654e11988190b708426d3003716a |
completed | March 22, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.