Triple
T15765590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osu Daido-chonin Matsuri |
E382210
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Osu district |
E1175524
|
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: Osu district | Statement: [Osu Daido-chonin Matsuri, locatedIn, Osu district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osu district Context triple: [Osu Daido-chonin Matsuri, locatedIn, Osu district]
-
A.
Osu district
chosen
Osu district is a lively neighborhood in Accra, Ghana, known for its bustling nightlife, shopping, and cultural events.
-
B.
Lavasanat District
Lavasanat District is an administrative subdivision in northern Tehran Province, Iran, known for its mountainous terrain, cooler climate, and role as a recreational and residential area near the capital.
-
C.
Kuta District
Kuta District is a popular coastal area in southern Bali, Indonesia, known for its busy tourist beaches, nightlife, and surf culture.
-
D.
Eruh District
Eruh District is an administrative district in southeastern Turkey known for its mountainous terrain and predominantly Kurdish population within Siirt Province.
-
E.
Kasa District
Kasa District was a former rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and villages before being dissolved through municipal mergers.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b8154881908afe5191e6424f15 |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9099335c8190b6f0fb336b3dc212 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:47 a.m.