Triple
T16013978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ochanomizu area |
E388413
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Hongo |
E1015491
|
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: Hongo | Statement: [Ochanomizu area, adjacentTo, Hongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hongo Context triple: [Ochanomizu area, adjacentTo, Hongo]
-
A.
Hongo
chosen
Hongo is a historic district in Bunkyo, Tokyo, known for its academic institutions, including the main campus of the University of Tokyo.
-
B.
Gomba
Gomba is a district within the Buganda region of central Uganda, known primarily for its rural communities and agricultural activities.
-
C.
Fungo
Fungo is the costumed team mascot of the New Hampshire Fisher Cats minor league baseball club, entertaining fans at games and community events.
-
D.
Myko
Myko is a short, informal given name or nickname derived from the Slavic name Mykola.
-
E.
Kungara
Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18292b79881908efac869603c4029 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf267a9c81908f1fa1ad117c5e2c |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.