Triple
T7994485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Iran |
E186087
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Kish (city) |
E373343
|
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: Kish (city) | Statement: [Southern Iran, hasMajorCity, Kish (city)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kish (city) Context triple: [Southern Iran, hasMajorCity, Kish (city)]
-
A.
Kish City
chosen
Kish City is the main urban and administrative center of Kish Island, a popular tourist and commercial hub in the Persian Gulf.
-
B.
Kirishi
Kirishi is an industrial town in northwestern Russia known for its major oil refinery and chemical industries.
-
C.
Kasukabe
Kasukabe is a city in Japan known for its suburban character within the Greater Tokyo area and as the setting of the popular manga and anime series "Crayon Shin-chan."
-
D.
Urakami
Urakami is a historic district of Nagasaki, Japan, known notably as the area devastated by the atomic bombing during World War II and for its prominent Catholic heritage.
-
E.
Kamishihoro
Kamishihoro is a town in Hokkaido, Japan, known for its natural scenery, hot springs, and the historic Taushubetsu River Bridge within the Daisetsuzan mountain region.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c73ba388190bcedc29fbdd22f3c |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe105d400819096ba271416bb24e7 |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 5:16 p.m.