Triple
T267042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MCV |
E5752
|
entity |
| Predicate | associatedStationCategory |
P8936
|
FINISHED |
| Object | major rail hub |
—
|
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: major rail hub | Statement: [MCV, associatedStationCategory, major rail hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedStationCategory Context triple: [MCV, associatedStationCategory, major rail hub]
-
A.
primaryStation
Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
-
B.
hasStationCode
Indicates that an entity is associated with a specific station identification code.
-
C.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
-
D.
isAssociatedWith
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
E.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dacf60c8190a5c3ef455b9a8b20 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6f60b081908fc6467800a8849e |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c8ae480819094f6d1bb0a6d2eb2 |
completed | Feb. 28, 2026, 3:10 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.