Triple
T9048375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itami Station (Hankyu Itami Line) |
E216815
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | city of Itami |
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: city of Itami | Statement: [Itami Station (Hankyu Itami Line), serves, city of Itami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Itami Context triple: [Itami Station (Hankyu Itami Line), serves, city of Itami]
-
A.
City of Itami
The City of Itami is a municipal government in Hyōgo Prefecture, Japan, responsible for administering local services, infrastructure, and community affairs for the city of Itami.
-
B.
Ichinomiya, Hyōgo
Ichinomiya, Hyōgo was a former town in Hyōgo Prefecture, Japan, that later became part of the city of Awaji through municipal consolidation.
-
C.
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.
-
D.
Amagasaki
Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
-
E.
Yame
Yame is a city in southwestern Japan renowned for its high-quality green tea production and traditional crafts.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b51aa708190a37feecfd8deed2f |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffdb868e48190b9d193025cb5b9a2 |
completed | April 3, 2026, 5:49 p.m. |
Created at: March 30, 2026, 7:09 p.m.