Triple
T14250772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikenoue Station |
E353253
|
entity |
| Predicate | hasOverheadCatenary |
P113401
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Ikenoue Station, hasOverheadCatenary, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOverheadCatenary Context triple: [Ikenoue Station, hasOverheadCatenary, yes]
-
A.
hasOverheadStructures
Indicates that one entity possesses or includes structural elements positioned above or spanning over another area or object.
-
B.
hasCantilever
Indicates that one entity possesses or incorporates a cantilever structure in relation to another entity or context.
-
C.
hasBasculeMechanism
Indicates that one entity is equipped with or incorporates a bascule (pivoting or counterweighted) mechanism provided by the other entity.
-
D.
hasPassengerBridge
Indicates that one entity is connected to another by a bridge or walkway specifically designed for passengers to move between them.
-
E.
hasCableArrangement
Indicates that one entity is connected to or equipped with another entity through a specific configuration or layout of cables.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6296f9d0819086f62f525d07eb12 |
completed | April 14, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69de05c09b7881908acbca18bd7d997c |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239bd0f48190ada38c0261e0ef3c |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 1:08 a.m.