Triple
T8599156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odakyu Electric Railway |
E203629
|
entity |
| Predicate | secondaryHubStation |
P26288
|
FINISHED |
| Object | Machida Station |
—
|
NE NERFINISHED |
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: Machida Station | Statement: [Odakyu Electric Railway, secondaryHubStation, Machida Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondaryHubStation Context triple: [Odakyu Electric Railway, secondaryHubStation, Machida Station]
-
A.
secondaryHub
Indicates that an entity functions as a secondary or backup hub in relation to a primary hub within a network or system.
-
B.
secondStation
Indicates that one station in a sequence or route is the second station relative to another reference point or ordering.
-
C.
secondaryRailwayStation
chosen
Indicates that a railway station functions as a secondary (non-primary) station serving a particular area, line, or settlement.
-
D.
primaryStation
Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
-
E.
thirdStation
Indicates that one entity is the third station in an ordered sequence or route relative to 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cc8b2081909c6aa45f8656f2ad |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:24 p.m.