Triple
T21715590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JY13 |
E536018
|
entity |
| Predicate | stationNameJapanese |
P8935
|
FINISHED |
| Object | 池袋駅 |
—
|
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: 池袋駅 | Statement: [JY13, stationNameJapanese, 池袋駅]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationNameJapanese Context triple: [JY13, stationNameJapanese, 池袋駅]
-
A.
TokyuStationNumber
Indicates that an entity is assigned a specific station number within the Tokyu railway network.
-
B.
TokyoMetroStationNumber
Indicates that an entity is assigned a specific official station number within the Tokyo Metro railway network.
-
C.
adjacentStationOnTokaidoShinkansen
Indicates that one station is directly next to another along the Tokaido Shinkansen line, with no other station in between.
-
D.
stationName
chosen
Indicates the name assigned to a particular station in the relationship.
-
E.
stationNumberOnYamanoteLine
Indicates the position or sequence number that a given station holds along the Yamanote Line.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53761b48190954a46e8155a84f0 |
completed | April 27, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:47 p.m.