Triple
T10488098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gogar depot |
E247342
|
entity |
| Predicate | trackGaugeServed |
P391
|
FINISHED |
| Object | standard 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: standard gauge | Statement: [Gogar depot, trackGaugeServed, standard gauge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackGaugeServed Context triple: [Gogar depot, trackGaugeServed, standard gauge]
-
A.
trackGauge
chosen
Indicates the distance between the inner faces of the rails in a railway track system.
-
B.
gaugeServed
Indicates that a gauge or measuring device is currently being supplied or serviced by a particular source or system.
-
C.
trackUsage
Indicates that one entity monitors and records how another entity or resource is being used over time.
-
D.
trackOn
Indicates that one entity is physically positioned or moving along the surface or path of another, like a vehicle on a track or rails.
-
E.
track
Indicates that one entity follows, monitors, or keeps a record of another entity’s state, behavior, or progress over time.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5096b609c81909e23fd8fb6426f4a |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8a30848190b33cf43f005a028e |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:23 p.m.