Triple
T16470305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irish gauge |
E400041
|
entity |
| Predicate | hasConversionTo |
P631
|
FINISHED |
| Object | standard gauge (on some lines) |
—
|
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 (on some lines) | Statement: [Irish gauge, hasConversionTo, standard gauge (on some lines)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConversionTo Context triple: [Irish gauge, hasConversionTo, standard gauge (on some lines)]
-
A.
allowsConversionTo
Indicates that one entity permits or enables transformation or change into another specified form or state.
-
B.
convertsTo
chosen
Indicates that one entity is transformed or changed into another entity, typically resulting in a different state, form, or representation.
-
C.
involvesConversionFrom
Indicates that one entity participates in or requires a transformation or change from another entity as its source or starting point.
-
D.
acceptsConversionFrom
Indicates that one entity can validly receive or handle a conversion from another entity’s type, format, or representation.
-
E.
hasConversionIssueWith
Indicates that one entity experiences or is associated with a problem, error, or incompatibility when being converted to or from another entity.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32dd0d2fc81909b68b5afb00f192f |
completed | April 18, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69e22706b0588190a48a951c5211a617 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:11 a.m.