Triple
T14150726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Komaba-tōdaimae Station |
E350669
|
entity |
| Predicate | stationNumberOnKeioInokashiraLine |
P113009
|
FINISHED |
| Object | IN03 |
—
|
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: IN03 | Statement: [Komaba-tōdaimae Station, stationNumberOnKeioInokashiraLine, IN03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationNumberOnKeioInokashiraLine Context triple: [Komaba-tōdaimae Station, stationNumberOnKeioInokashiraLine, IN03]
-
A.
stationNumberOnKeihinTohokuLine
Indicates the ordinal position of a station along the Keihin-Tōhoku railway line.
-
B.
stationNumberOnYamanoteLine
Indicates the position or sequence number that a given station holds along the Yamanote Line.
-
C.
ToeiSubwayStationNumber
Indicates the identification number assigned to a station within the Toei Subway system.
-
D.
TokyoMetroStationNumber
Indicates that an entity is assigned a specific official station number within the Tokyo Metro railway network.
-
E.
TokyuStationNumber
Indicates that an entity is assigned a specific station number within the Tokyu 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6124e23481909e5132a40a1d8624 |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 12:56 a.m.