Triple
T25094176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khairpur railway station |
E628542
|
entity |
| Predicate | hasCountryRailOperator |
P121930
|
FINISHED |
| Object | Pakistan Railways |
—
|
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: Pakistan Railways | Statement: [Khairpur railway station, hasCountryRailOperator, Pakistan Railways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryRailOperator Context triple: [Khairpur railway station, hasCountryRailOperator, Pakistan Railways]
-
A.
hasRailTransportOperator
chosen
Indicates that a rail transport system, service, or infrastructure is operated or managed by a specified rail transport operator.
-
B.
railwayOperatorCountry
Indicates the country in which a given railway operator is based or operates.
-
C.
hasLocalRailOperator
Indicates that a specified rail operator is responsible for providing local or regional rail services within a particular area or network.
-
D.
isNationalRailwaySystemOf
Indicates that one entity functions as the official national railway system serving and operating within the territory of another entity.
-
E.
hasRailOperatorNamedAfter
Indicates that a rail operator is named after the specified entity.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 18, 2026, 6:24 a.m.