Triple
T17821675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 千歳市 |
E444999
|
entity |
| Predicate | 所在空港 |
P81013
|
FINISHED |
| Object | 千歳空港 |
—
|
NE NERFINISHED |
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: 千歳空港 | Statement: [千歳市, 所在空港, 千歳空港]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 千歳空港 Context triple: [千歳市, 所在空港, 千歳空港]
-
A.
千歳空港
chosen
千歳空港は、北海道の空の玄関口として国内外を結ぶ主要な拠点空港です。
-
B.
Hakodate Airport
Hakodate Airport is a regional international airport in Hakodate, Hokkaido, Japan, serving domestic flights and limited international routes.
-
C.
Sapporo Okadama Airport
Sapporo Okadama Airport is a regional airport in Sapporo, Japan, primarily serving domestic flights within Hokkaido.
-
D.
Kushiro Airport
Kushiro Airport is a regional airport in eastern Hokkaido, Japan, serving the city of Kushiro and surrounding areas with domestic flights and access to nearby natural attractions.
-
E.
Aomori Airport
Aomori Airport is a regional airport in northern Honshu, Japan, serving the city of Aomori with domestic flights and limited international connections.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48911b660819097fc7ea94665a02a |
completed | April 19, 2026, 7:49 a.m. |
Created at: April 10, 2026, 10:15 a.m.