Triple
T4550122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyonaka Campus |
E110140
|
entity |
| Predicate | accessibleBy |
P1017
|
FINISHED |
| Object | Osaka Monorail |
E40878
|
NE 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: Osaka Monorail | Statement: [Toyonaka Campus, accessibleBy, Osaka Monorail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osaka Monorail Context triple: [Toyonaka Campus, accessibleBy, Osaka Monorail]
-
A.
Osaka Monorail
chosen
Osaka Monorail is a straddle-beam monorail system in Osaka Prefecture, Japan, serving as a major urban transit line linking key suburbs, commercial areas, and transport hubs.
-
B.
Tokyo Monorail
Tokyo Monorail is an urban transit line in Tokyo that provides rapid rail service between central Tokyo and Haneda Airport.
-
C.
Tama Monorail
Tama Monorail is a straddle-beam monorail line in Tokyo, Japan, providing urban transit service through the Tama area.
-
D.
Okinawa Urban Monorail
Okinawa Urban Monorail is an elevated rail transit system serving the city of Naha and surrounding areas on Japan’s Okinawa Island.
-
E.
Osaka urban rail network
The Osaka urban rail network is an extensive system of commuter and rapid transit lines serving Osaka and its surrounding metropolitan area, integrating multiple railway operators into a dense, high-frequency transport grid.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd4412524c8190be5bcc9ddee91848 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57f5a0a081909977ccbb8aba633c |
completed | March 20, 2026, 2:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb94cab408190956ef333aa810a3b |
completed | March 20, 2026, 9:17 p.m. |
Created at: March 20, 2026, 1:05 p.m.