Triple
T10284516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kunitachi |
E241192
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | 立川市 |
E130056
|
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: 立川市 | Statement: [Kunitachi, hasNeighboringMunicipality, 立川市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 立川市 Context triple: [Kunitachi, hasNeighboringMunicipality, 立川市]
-
A.
高槻市
高槻市は、大阪府北部に位置し、京都と大阪の中間にあるベッドタウン兼商工業都市です。
-
B.
成田市
成田市 is a city in Chiba Prefecture, Japan, best known internationally as the location of Narita International Airport, one of the Tokyo area's main gateways.
-
C.
Ibaraki City
Ibaraki City is a suburban city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
D.
Hachiōji
chosen
Hachiōji is a city in western Tokyo, Japan, known as a regional commercial and educational hub with rich historical sites and access to nearby mountains and nature.
-
E.
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.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b737788190bfadd0d48ad38f5b |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8444c48819095100c6d1d45ccc7 |
completed | April 9, 2026, 12:52 a.m. |
Created at: April 6, 2026, 11:40 a.m.