Triple
T10648472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medak district |
E250897
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Medak |
E885162
|
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: Medak | Statement: [Medak district, hasMajorTown, Medak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medak Context triple: [Medak district, hasMajorTown, Medak]
-
A.
Medak
chosen
Medak is a town in the Indian state of Telangana known for its historic fort and prominent churches, serving as an important local administrative and cultural center.
-
B.
Jangaon
Jangaon is a town and municipal center in the Indian state of Telangana, known for its location along key road and rail routes between Hyderabad and Warangal.
-
C.
Mahbubnagar
Mahbubnagar is a town and district headquarters in the Indian state of Telangana, known for its agricultural surroundings and proximity to major rivers and irrigation projects.
-
D.
Nalgonda
Nalgonda is a town and district headquarters in the Indian state of Telangana, known for its proximity to major irrigation projects and its historical significance in the region.
-
E.
Bhimnagar
Bhimnagar is a settlement in the Indian state of Bihar known for its proximity to the Kosi River and the major Kosi Barrage infrastructure.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe3ea08819094a945ebb7fc4d3a |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8461e0448190b801a0ed128d9dcb |
completed | April 14, 2026, 6:16 p.m. |
Created at: April 8, 2026, 9:06 p.m.