Triple
T9566246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nalgonda |
E230794
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Nalgundah
Nalgundah is the former name of Nalgonda, a city in the Indian state of Telangana known for its historical and cultural significance.
|
E807585
|
NE FINISHED |
How this triple was built (4 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: Nalgundah | Statement: [Nalgonda, formerName, Nalgundah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nalgundah Context triple: [Nalgonda, formerName, Nalgundah]
-
A.
Battakundi
Battakundi is a small scenic village and tourist stopover located in Pakistan’s mountainous Kaghan Valley.
-
B.
Sangole
Sangole is a town in Maharashtra, India, known for its agricultural markets and location within Solapur district.
-
C.
Bundi
Bundi is a historic city in Rajasthan, India, renowned for its ornate palaces, stepwells, and well-preserved medieval architecture.
-
D.
Mundubbera
Mundubbera is a rural town in Queensland, Australia, known for its citrus and fruit-growing industries along the Burnett River.
-
E.
Punganur
Punganur is a town in the Chittoor district of Andhra Pradesh, India, known for its agricultural market and the indigenous Punganur dwarf cattle breed.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nalgundah Triple: [Nalgonda, formerName, Nalgundah]
Generated description
Nalgundah is the former name of Nalgonda, a city in the Indian state of Telangana known for its historical and cultural significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nalgundah Target entity description: Nalgundah is the former name of Nalgonda, a city in the Indian state of Telangana known for its historical and cultural significance.
-
A.
Battakundi
Battakundi is a small scenic village and tourist stopover located in Pakistan’s mountainous Kaghan Valley.
-
B.
Sangole
Sangole is a town in Maharashtra, India, known for its agricultural markets and location within Solapur district.
-
C.
Bundi
Bundi is a historic city in Rajasthan, India, renowned for its ornate palaces, stepwells, and well-preserved medieval architecture.
-
D.
Mundubbera
Mundubbera is a rural town in Queensland, Australia, known for its citrus and fruit-growing industries along the Burnett River.
-
E.
Punganur
Punganur is a town in the Chittoor district of Andhra Pradesh, India, known for its agricultural market and the indigenous Punganur dwarf cattle breed.
- F. None of above. chosen
Provenance (5 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd996c0a1081908a8356c454e60f74 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152b09c808190aff32419f2cbb15f |
completed | April 4, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_69d153d59844819086a0f50e6a7624b2 |
completed | April 4, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1546a503c81908edc9588adabc172 |
completed | April 4, 2026, 6:11 p.m. |
Created at: March 30, 2026, 8:04 p.m.