Triple
T30124478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sportyvna |
E765651
|
entity |
| Predicate | isStationOf |
P170191
|
FINISHED |
| Object | Kharkiv Metro network |
—
|
NE NERFINISHED |
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: Kharkiv Metro network | Statement: [Sportyvna, isStationOf, Kharkiv Metro network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStationOf Context triple: [Sportyvna, isStationOf, Kharkiv Metro network]
-
A.
hasStationAt
Indicates that an entity maintains or operates a station located at a specified place.
-
B.
isRailwayStation
Indicates that the subject is a railway station, i.e., a facility where trains regularly stop to pick up or drop off passengers and/or freight.
-
C.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
-
D.
isOneOfMajorStationsIn
Indicates that a station belongs to the set of primary or most important stations within a specified area or system.
-
E.
isSuburbanStationOf
Indicates that a station is located in a suburban area and functionally serves as a subsidiary or outlying station of a main or central 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_69f2247716748190ae4f16998f49ddf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 29, 2026, 7:14 p.m.