Triple
T29600065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brest railway station |
E754416
|
entity |
| Predicate | gaugeChangeFunction |
P167496
|
FINISHED |
| Object | break-of-gauge between standard gauge and broad 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: break-of-gauge between standard gauge and broad gauge | Statement: [Brest railway station, gaugeChangeFunction, break-of-gauge between standard gauge and broad gauge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gaugeChangeFunction Context triple: [Brest railway station, gaugeChangeFunction, break-of-gauge between standard gauge and broad gauge]
-
A.
gaugeValue
Indicates the measured or current reading associated with a particular gauge or measurement instrument.
-
B.
gaugeProperty
Indicates a relationship where a gauge measures, reflects, or represents a specific property or attribute of something.
-
C.
gaugeChoiceProperty
Indicates a relationship where a particular choice or option is evaluated or characterized according to a specific gauge or measurement property.
-
D.
gaugeType
Indicates the specific kind or category of gauge associated with an entity or measurement.
-
E.
gaugeConversion
Indicates a relationship where one measurement or scale is converted into another corresponding measurement or scale.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66dbae46881909b6543de2bd2f273 |
completed | May 2, 2026, 9:33 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 6:21 p.m.