Triple
T9950215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahbubnagar district |
E195309
|
entity |
| Predicate | hasHistoricalName |
P2834
|
FINISHED |
| Object | Palamoor |
E195309
|
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: Palamoor | Statement: [Mahbubnagar district, hasHistoricalName, Palamoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palamoor Context triple: [Mahbubnagar district, hasHistoricalName, Palamoor]
-
A.
Palamoor
chosen
Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
-
B.
Gandhipuram
Gandhipuram is a major commercial and transportation hub in Coimbatore, Tamil Nadu, known for its busy markets, shopping centers, and connectivity.
-
C.
Kaniguram
Kaniguram is a historic town in South Waziristan, Pakistan, known as a traditional center of the Ormur (Burki) ethnic community.
-
D.
Amalapuram
Amalapuram is a town in the Konaseema region of Andhra Pradesh, India, known as a regional educational and commercial center surrounded by lush coconut and paddy fields.
-
E.
Kaamalapuram
Kaamalapuram is a locality in Tamil Nadu, India, known primarily for hosting the airport that serves the city of Salem.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb65a4e6c8190968192a24aad1b7d |
completed | April 2, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d299e3d5fc8190a953be3ebd8250e6 |
completed | April 5, 2026, 5:20 p.m. |
Created at: March 30, 2026, 8:45 p.m.