Triple
T11321854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Line (Mumbai Suburban Railway) |
E268112
|
entity |
| Predicate | gaugeStandard |
P39342
|
FINISHED |
| Object | 1676 mm |
—
|
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: 1676 mm | Statement: [Central Line (Mumbai Suburban Railway), gaugeStandard, 1676 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gaugeStandard Context triple: [Central Line (Mumbai Suburban Railway), gaugeStandard, 1676 mm]
-
A.
standardGaugeWidth
Indicates that something has the standard or officially accepted gauge width, typically referring to the distance between two rails in a railway track.
-
B.
gaugeType
chosen
Indicates the specific kind or category of gauge associated with an entity or measurement.
-
C.
gaugeGroup
Indicates a relationship where a physical or theoretical model is associated with the gauge group that defines its underlying symmetry structure.
-
D.
standardGaugeWidthComparison
Indicates a comparison between the track gauge width of a railway and the standard gauge width to determine if it is equal to, narrower than, or wider than the standard.
-
E.
gaugeServed
Indicates that a gauge or measuring device is currently being supplied or serviced by a particular source or system.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9dff37081909622623e66e17ccd |
completed | April 9, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.