Triple
T1927934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itami |
E40874
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Itami City |
E461077
|
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: Itami City | Statement: [Itami, alsoKnownAs, Itami City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itami City Context triple: [Itami, alsoKnownAs, Itami City]
-
A.
Itami City
chosen
Itami City is an urban municipality in Hyōgo Prefecture, Japan, known for hosting Osaka International Airport (commonly called Itami Airport) and its role within the Kansai metropolitan area.
-
B.
Amami City
Amami City is the main urban and administrative hub of the Amami Islands in Kagoshima Prefecture, Japan, known for its subtropical climate and proximity to rich natural and marine environments.
-
C.
Sakai City
Sakai City is a major urban center in Osaka Prefecture, Japan, known historically as a prosperous port and merchant city and today for its industrial base and cultural heritage.
-
D.
Tama City
Tama City is a suburban municipality in western Tokyo, Japan, known for its planned residential communities and proximity to attractions like Sanrio Puroland.
-
E.
Namba City
Namba City is a large shopping and entertainment complex in Osaka’s Namba district, featuring retail stores, restaurants, offices, and a rooftop garden integrated with the surrounding urban landscape.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb263cdb8819084d0bda98a2a71e0 |
completed | March 7, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0ffd52188190addb5fa69c45e9d7 |
completed | March 21, 2026, 3:26 a.m. |
Created at: March 4, 2026, 7:35 p.m.