Triple
T22042795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarazi |
E544680
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Doda district |
—
|
NE NERFINISHED |
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: Doda district | Statement: [Sarazi, region, Doda district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doda district Context triple: [Sarazi, region, Doda district]
-
A.
Doda district
chosen
Doda district is an administrative district in the hilly Chenab Valley region of Jammu and Kashmir, India, known for its mountainous terrain and cultural diversity.
-
B.
Kudanshita district
Kudanshita district is a central Tokyo neighborhood known for its proximity to the Imperial Palace area, educational institutions, and cultural sites such as Yasukuni Shrine and the Nippon Budokan.
-
C.
Tsurumai district
Tsurumai district is an urban neighborhood in Nagoya, Japan, known for its central park, cultural facilities, and convenient access to public transportation.
-
D.
Nawa District
Nawa District is an administrative district in Ghazni Province, Afghanistan, known for its rural communities and location in the southeastern part of the country.
-
E.
Yoichi District
Yoichi District is a rural administrative district in western Hokkaido, Japan, known for its coastal towns, fruit orchards, and whisky production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282ac42c819099b2f664f79f5b83 |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:25 p.m.