Triple
T16944497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagoya Municipal Subway |
E411033
|
entity |
| Predicate | interchangeWith |
P3495
|
FINISHED |
| Object | Meitetsu |
E320648
|
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: Meitetsu | Statement: [Nagoya Municipal Subway, interchangeWith, Meitetsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meitetsu Context triple: [Nagoya Municipal Subway, interchangeWith, Meitetsu]
-
A.
Meitetsu
chosen
Meitetsu is a major private railway company in Japan’s Chubu region, best known for operating extensive rail and transport services centered around Nagoya.
-
B.
Keihan
Keihan is a major Japanese private railway operator serving the Osaka–Kyoto region with commuter and interurban rail services.
-
C.
Mantetsu
Mantetsu was a powerful Japanese state-controlled railway and colonial enterprise that operated rail lines and managed extensive economic activities in Manchuria during the early 20th century.
-
D.
Odakyu
Odakyu is a Japanese retail and transportation company best known for operating railway lines and department stores in the Greater Tokyo area.
-
E.
Shinkankakuha
Shinkankakuha was a Japanese literary movement of the early 20th century that sought to capture fresh, immediate sensory experience and psychological nuance through innovative narrative techniques.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb08da88190b07c32652bbc1534 |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfea3bc88190acaa013169d607c5 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:31 a.m.