Triple
T12647704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yono Station |
E302072
|
entity |
| Predicate | locatedInWard |
P40
|
FINISHED |
| Object | Chūō-ku, Saitama |
E884575
|
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: Chūō-ku, Saitama | Statement: [Yono Station, locatedInWard, Chūō-ku, Saitama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chūō-ku, Saitama Context triple: [Yono Station, locatedInWard, Chūō-ku, Saitama]
-
A.
Chūō-ku, Saitama
chosen
Chūō-ku, Saitama is a central administrative ward of Saitama City in Saitama Prefecture, Japan, known for its mix of residential, commercial, and civic facilities.
-
B.
Ōmiya-ku, Saitama
Ōmiya-ku, Saitama is a major commercial and transportation hub in Saitama City, Japan, known for its busy railway junction, shopping districts, and cultural attractions.
-
C.
Nishi-ku, Saitama
Nishi-ku, Saitama is a ward in the city of Saitama, Japan, known primarily as a residential and suburban area within the Greater Tokyo metropolitan region.
-
D.
Chūō-ku, Chiba
Chūō-ku, Chiba is the central ward of Chiba City in Japan, serving as its main commercial and administrative hub.
-
E.
Minami-ku, Saitama
Minami-ku, Saitama is a southern ward of Saitama City in Japan, known as a primarily residential and commercial area with convenient rail connections to central Tokyo.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9615cf6f48190bd0983cf7465ab15 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c730b5c8190ae8dbb476e53729e |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:17 p.m.