Triple
T23789334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noviciado |
E588047
|
entity |
| Predicate | isOnRailwayGauge |
P47503
|
FINISHED |
| Object | 1,445 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: 1,445 mm | Statement: [Noviciado, isOnRailwayGauge, 1,445 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOnRailwayGauge Context triple: [Noviciado, isOnRailwayGauge, 1,445 mm]
-
A.
usesRailGauge
Indicates that one entity (typically a railway system or line) operates using the specified rail gauge measurement of the other entity.
-
B.
railwayGaugeContext
chosen
Indicates the specific track gauge standard or measurement that applies to, or is used in, a given railway-related context.
-
C.
isOnRailway
Indicates that one entity is positioned on, aligned with, or traveling along a railway track or railway system in relation to another entity.
-
D.
isRailwayIn
Indicates that a railway is located within or passes through a specified geographic or administrative area.
-
E.
hasRailWidth
Indicates that one entity has a specified width measurement for its rail or rails.
- 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_69e2490f4ad48190b690878eec3596c6 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c633f7908190bac7fdac5990920a |
completed | April 29, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:17 p.m.