Triple
T6985477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ise |
E161949
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Matsusaka |
E398504
|
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: Matsusaka | Statement: [Ise, locatedNear, Matsusaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matsusaka Context triple: [Ise, locatedNear, Matsusaka]
-
A.
Matsusaka
chosen
Matsusaka is a city in Japan renowned for its high-quality Matsusaka beef and historical merchant culture.
-
B.
Kashihara
Kashihara is a city in Nara Prefecture, Japan, historically associated with the legendary founding of the Japanese imperial line and home to significant Shinto sites.
-
C.
Kishiwada
Kishiwada is a coastal city in southern Osaka Prefecture, Japan, best known for its historic castle and the lively Kishiwada Danjiri Matsuri festival.
-
D.
Kaizuka
Kaizuka is a coastal city in Osaka Prefecture, Japan, known for its historical temples, traditional festivals, and proximity to Osaka Bay.
-
E.
Neyagawa
Neyagawa is a city in Osaka Prefecture, Japan, known as a residential and commercial suburb within the Osaka metropolitan area.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db91fbc881908c26b7b991995062 |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90d3dfbac819087d07c35a1776064 |
completed | April 10, 2026, 2:46 p.m. |
Created at: March 27, 2026, 2:31 p.m.