Triple
T10687413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meguro Ward |
E251913
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Himonya |
E268150
|
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: Himonya | Statement: [Meguro Ward, hasDistrict, Himonya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Himonya Context triple: [Meguro Ward, hasDistrict, Himonya]
-
A.
Himonya
chosen
Himonya is a residential neighborhood in Meguro, Tokyo, known for its quiet streets, local shopping streets, and the Himonya Park and pond area.
-
B.
Manyoni
Manyoni is a town and district headquarters in central Tanzania known for its location along major road and rail routes in the Singida Region.
-
C.
Ngamo
Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
-
D.
Ovilava
Ovilava was a major Roman-era city in the province of Noricum, located at the site of modern Wels in present-day Austria.
-
E.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd19f0f481909eeaa75d17d9c060 |
completed | April 9, 2026, 1:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9889d1f988190938be54771161b00 |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:10 p.m.