Triple
T21132673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adelante |
E520726
|
entity |
| Predicate | hasCarFormation |
P142978
|
FINISHED |
| Object | multiple coaches permanently coupled |
—
|
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: multiple coaches permanently coupled | Statement: [Adelante, hasCarFormation, multiple coaches permanently coupled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCarFormation Context triple: [Adelante, hasCarFormation, multiple coaches permanently coupled]
-
A.
containsFormation
Indicates that one entity spatially or structurally includes or encloses a formation as part of its extent or composition.
-
B.
appliesToFormationNumber
Indicates that something (such as a rule, condition, or attribute) is specifically associated with or relevant to a particular formation number.
-
C.
hasFieldFormation
Indicates that an entity possesses or exhibits a particular field formation, such as a structured arrangement or configuration of fields.
-
D.
hasCarClass
Indicates that one entity is associated with, or categorized under, a particular class or type of car.
-
E.
hasCarriageShed
Indicates that an entity possesses or includes a shed or structure specifically used for storing or housing carriages.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723574b1481909fe9bebc83f1f3ce |
completed | April 21, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 2:56 p.m.