Triple
T25941208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahraich railway station |
E653702
|
entity |
| Predicate | previousGaugeType |
P120346
|
FINISHED |
| Object | metre gauge |
—
|
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: metre gauge | Statement: [Bahraich railway station, previousGaugeType, metre gauge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousGaugeType Context triple: [Bahraich railway station, previousGaugeType, metre gauge]
-
A.
gaugeType
Indicates the specific kind or category of gauge associated with an entity or measurement.
-
B.
previouslyHadGauge
Indicates that an entity had a particular gauge or measurement instrument at some time in the past, but does not necessarily have it now.
-
C.
primaryGauge
Indicates that one gauge is designated as the main or principal measurement instrument among a set of gauges.
-
D.
previousTractionType
Indicates the type of traction or traction method that was used previously before the current one.
-
E.
formerTrackGauge
chosen
Indicates that an entity previously had a specified track gauge, which has since been changed or is no longer in use.
- 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_69e7ab3fd2f881908837305e4ba98011 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 22, 2026, 8:40 a.m.