Triple
T37541794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oppama Station |
E933341
|
entity |
| Predicate | stationNumberOnKeikyuMainLine |
P188234
|
FINISHED |
| Object | KK54 |
—
|
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: KK54 | Statement: [Oppama Station, stationNumberOnKeikyuMainLine, KK54]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationNumberOnKeikyuMainLine Context triple: [Oppama Station, stationNumberOnKeikyuMainLine, KK54]
-
A.
stationNumberOnKeihinTohokuLine
Indicates the ordinal position of a station along the Keihin-Tōhoku railway line.
-
B.
stationNumberOnKeioInokashiraLine
Indicates the station’s position or sequence number along the Keio Inokashira railway line.
-
C.
stationNumberOnYamanoteLine
Indicates the position or sequence number that a given station holds along the Yamanote Line.
-
D.
TokyuStationNumber
Indicates that an entity is assigned a specific station number within the Tokyu railway network.
-
E.
TokyoMetroStationNumber
Indicates that an entity is assigned a specific official station number within the Tokyo Metro railway network.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba5ee00fc81909be7b947a3f95034 |
completed | May 6, 2026, 8:34 p.m. |
Created at: May 3, 2026, 4:17 p.m.