Triple
T17102369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tama area |
E415010
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hachiōji |
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: Hachiōji | Statement: [Tama area, hasPart, Hachiōji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hachiōji Context triple: [Tama area, hasPart, Hachiōji]
-
A.
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.
-
B.
Higashiyamato, Tokyo
Higashiyamato is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, parks, and access via the Tama Monorail.
-
C.
Koganei, Tokyo
Koganei, Tokyo is a suburban city in western Tokyo Metropolis known for its residential neighborhoods, parks, and the renowned Edo-Tokyo Open Air Architectural Museum in Koganei Park.
-
D.
Chōfu
Chōfu is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, film studios, and proximity to central Tokyo.
-
E.
Musashino
Musashino is a suburban city in western Tokyo, Japan, known for the popular Kichijoji district and its blend of residential neighborhoods, shopping areas, and parks.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc239a088190a776fe0f4361ffc7 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f01d6e4819096dcf105cf48bee6 |
completed | May 18, 2026, 4:01 a.m. |
Created at: April 10, 2026, 5:35 a.m.