Triple
T10932111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izu Peninsula |
E258232
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Ito |
E452962
|
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: Ito | Statement: [Izu Peninsula, hasCity, Ito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ito Context triple: [Izu Peninsula, hasCity, Ito]
-
A.
Ogawa
Ogawa is a town in Saitama Prefecture, Japan, known for its traditional Japanese paper (washi) production and its role as a local transport hub.
-
B.
Itō
chosen
Itō is a common Japanese surname borne by numerous notable figures in fields such as politics, the military, arts, and sciences.
-
C.
Izumi
Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
-
D.
Nagoa
Nagoa is a village in North Goa, India, known for its proximity to popular Goan beaches and tourist areas.
-
E.
Tagawa
Tagawa is a small inland city in Japan known historically as a coal-mining center within Fukuoka Prefecture on Kyushu Island.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770a062f481908beb76c6dbaeb6a6 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23bdf678881909cae518ecaacf577 |
completed | April 17, 2026, 1:55 p.m. |
Created at: April 8, 2026, 9:23 p.m.