Triple
T12573274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jew Town |
E295656
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kochi |
E209076
|
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: Kochi | Statement: [Jew Town, locatedIn, Kochi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kochi Context triple: [Jew Town, locatedIn, Kochi]
-
A.
Kochi
chosen
Kochi is a major port city on the southwest coast of India, known for its historic spice trade, multicultural heritage, and role as a commercial hub in the state of Kerala.
-
B.
Kochi
Kochi is a coastal city on Japan’s Shikoku Island known for its historic castle, vibrant markets, and scenic Pacific shoreline.
-
C.
Kōchi City
Kōchi City is a coastal city on Japan’s Shikoku island known for its historic castle, markets like Hirome Ichiba, and scenic rivers and mountains.
-
D.
Kochi metropolitan area
The Kochi metropolitan area is a major urban and commercial hub in the Indian state of Kerala, centered on the port city of Kochi and known for its maritime trade, tourism, and service industries.
-
E.
Kaga City
Kaga City is a hot spring resort city in southern Ishikawa Prefecture, Japan, known for its historic onsen towns, traditional crafts, and scenic natural surroundings.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a52c788190beac128a97e34dc1 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739668f3481909cc7564c3ede2896 |
completed | May 3, 2026, 12:02 p.m. |
Created at: April 8, 2026, 11:50 p.m.