Triple
T7730776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanumangarh district |
E175245
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Sangaria
Sangaria is a prominent town in Rajasthan, India, known as a key commercial and agricultural center within the Hanumangarh district.
|
E685216
|
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: Sangaria | Statement: [Hanumangarh district, hasMajorTown, Sangaria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sangaria Context triple: [Hanumangarh district, hasMajorTown, Sangaria]
-
A.
Garanhuns
Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
-
B.
Iadera
Iadera is the ancient Roman and medieval Latin name for the coastal city now known as Zadar in Croatia.
-
C.
Sabanalarga
Sabanalarga is a rural municipality in eastern Colombia known for its cattle ranching and agricultural activities within the Llanos (plains) region.
-
D.
Catriel
Catriel is a small city in Argentina known for its oil and gas industry, located in the northern part of Río Negro Province.
-
E.
Guamo
Guamo is a municipality and agricultural town in central Colombia’s Tolima Department, known for its warm climate and regional farming economy.
- 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: Sangaria Triple: [Hanumangarh district, hasMajorTown, Sangaria]
Generated description
Sangaria is a prominent town in Rajasthan, India, known as a key commercial and agricultural center within the Hanumangarh district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sangaria Target entity description: Sangaria is a prominent town in Rajasthan, India, known as a key commercial and agricultural center within the Hanumangarh district.
-
A.
Garanhuns
Garanhuns is a city in northeastern Brazil known for its mild climate, hilly terrain, and popular winter music festival.
-
B.
Iadera
Iadera is the ancient Roman and medieval Latin name for the coastal city now known as Zadar in Croatia.
-
C.
Sabanalarga
Sabanalarga is a rural municipality in eastern Colombia known for its cattle ranching and agricultural activities within the Llanos (plains) region.
-
D.
Catriel
Catriel is a small city in Argentina known for its oil and gas industry, located in the northern part of Río Negro Province.
-
E.
Guamo
Guamo is a municipality and agricultural town in central Colombia’s Tolima Department, known for its warm climate and regional farming economy.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703358cf881909df8496d943d6de7 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b52e176481908595fea4ace7a607 |
completed | March 29, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69c8b69c1644819097b84ba84fac9cd2 |
completed | March 29, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8ba9115a08190b569931686a9cd8d |
completed | March 29, 2026, 5:37 a.m. |
Created at: March 27, 2026, 4:06 p.m.