Triple
T8599163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odakyu Electric Railway |
E203629
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Odakyu |
E701602
|
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: Odakyu | Statement: [Odakyu Electric Railway, abbreviation, Odakyu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odakyu Context triple: [Odakyu Electric Railway, abbreviation, Odakyu]
-
A.
Odakyu
chosen
Odakyu is a Japanese retail and transportation company best known for operating railway lines and department stores in the Greater Tokyo area.
-
B.
Rokkō Liner
Rokkō Liner is an automated guideway transit line in Kobe, Japan, connecting the artificial island of Rokkō Island with the mainland.
-
C.
Kiha
Kiha is a Bantu language spoken by the Ha people of the Kigoma region in western Tanzania.
-
D.
Meitetsu
Meitetsu is a major private railway company in Japan’s Chubu region, best known for operating extensive rail and transport services centered around Nagoya.
-
E.
Botchan Ressha
Botchan Ressha is a nostalgic, tourist-oriented replica of a Meiji-era steam locomotive that runs through Matsuyama, evoking scenes from Natsume Sōseki’s novel "Botchan."
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cc8b2081909c6aa45f8656f2ad |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8dd86d08190a7f8e674e16dd8b6 |
completed | April 2, 2026, 5:35 p.m. |
Created at: March 30, 2026, 6:24 p.m.