Triple
T6285869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iberian gauge |
E140896
|
entity |
| Predicate | hasEngineeringConsequence |
P812
|
FINISHED |
| Object | wider rolling stock bodies possible |
—
|
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: wider rolling stock bodies possible | Statement: [Iberian gauge, hasEngineeringConsequence, wider rolling stock bodies possible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEngineeringConsequence Context triple: [Iberian gauge, hasEngineeringConsequence, wider rolling stock bodies possible]
-
A.
hasEngineeringSignificance
Indicates that something holds notable importance, impact, or relevance within an engineering context or for engineering activities.
-
B.
hasConsequence
chosen
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
C.
hasEngineeringBy
Indicates that something is designed, planned, or constructed by a specified engineer or engineering entity.
-
D.
hasEngineeringStyle
Indicates that an entity possesses or exhibits a particular engineering approach, methodology, or design style in how it is created, structured, or operates.
-
E.
hasIndustrialSignificance
Indicates that something plays an important role or has notable impact within industrial processes, production, or applications.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063fe59fc81908dbd968017771190 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c0560a0270819098ad2785b91e8f39 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:26 p.m.