Triple
T5725062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anand district |
E126244
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Sojitra
Sojitra is a town in the Anand district of Gujarat, India, known for its agricultural surroundings and local dairy-based economy.
|
E544964
|
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: Sojitra | Statement: [Anand district, hasTown, Sojitra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sojitra Context triple: [Anand district, hasTown, Sojitra]
-
A.
Soyarabai
Soyarabai was a Maratha queen and consort of Chhatrapati Shivaji Maharaj, known as the mother of Rajaram I and a key figure in the politics of the early Maratha Empire.
-
B.
Jitra
Jitra is a town in the state of Kedah in northern Peninsular Malaysia, historically noted as the site of a major World War II battle between British Commonwealth and Japanese forces.
-
C.
Shivta
Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
-
D.
Sharya
Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
-
E.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
- 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: Sojitra Triple: [Anand district, hasTown, Sojitra]
Generated description
Sojitra is a town in the Anand district of Gujarat, India, known for its agricultural surroundings and local dairy-based economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sojitra Target entity description: Sojitra is a town in the Anand district of Gujarat, India, known for its agricultural surroundings and local dairy-based economy.
-
A.
Soyarabai
Soyarabai was a Maratha queen and consort of Chhatrapati Shivaji Maharaj, known as the mother of Rajaram I and a key figure in the politics of the early Maratha Empire.
-
B.
Jitra
Jitra is a town in the state of Kedah in northern Peninsular Malaysia, historically noted as the site of a major World War II battle between British Commonwealth and Japanese forces.
-
C.
Shivta
Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
-
D.
Sharya
Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
-
E.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025085f508190adf5d540bc8a5b1c |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07dfa10a88190b2e95987229915f5 |
completed | March 22, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_69c08d4002a88190b34c79a644dfd019 |
completed | March 23, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08decf8108190b6b5fe8efd41387c |
completed | March 23, 2026, 12:48 a.m. |
Created at: March 22, 2026, 3:47 p.m.