Triple
T33178049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsurumai Station |
E849238
|
entity |
| Predicate | hasJRStationNumber |
P29273
|
FINISHED |
| Object | CF03 |
—
|
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: CF03 | Statement: [Tsurumai Station, hasJRStationNumber, CF03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJRStationNumber Context triple: [Tsurumai Station, hasJRStationNumber, CF03]
-
A.
TokyuStationNumber
Indicates that an entity is assigned a specific station number within the Tokyu railway network.
-
B.
ToeiSubwayStationNumber
Indicates the identification number assigned to a station within the Toei Subway system.
-
C.
stationNumberOnYamanoteLine
Indicates the position or sequence number that a given station holds along the Yamanote Line.
-
D.
hasRailwayStationNumberingSystem
Indicates that a railway station is associated with a specific system for assigning it an identifying number or code.
-
E.
stationNumber
chosen
Indicates the specific station identifier or code assigned to an entity within a system or network.
- 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_69f3495d06508190b0b7729982982cea |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:29 a.m.