Triple

T15280395
Position Surface form Disambiguated ID Type / Status
Subject Amreli district E365252 entity
Predicate contains P35 FINISHED
Object Bagasara
Bagasara is a town in the Amreli district of Gujarat, India, known for its local commerce and regional cultural significance.
E1148471 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: Bagasara | Statement: [Amreli district, contains, Bagasara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagasara
Context triple: [Amreli district, contains, Bagasara]
  • A. Baljurashi
    Baljurashi is a city in southwestern Saudi Arabia known for its mountainous terrain, cool climate, and location within the Al Bahah region.
  • B. Balasagun
    Balasagun was a prominent medieval Central Asian city in the Chüy Valley, historically significant as a political and cultural center along the Silk Road.
  • C. Sraosha
    Sraosha is a key Zoroastrian divinity associated with obedience, religious devotion, and the protection of the righteous, often depicted as a guardian against evil forces.
  • D. Bakana
    Bakana is a town and traditional community of the Kalabari people in the Niger Delta region of Rivers State, Nigeria.
  • E. Shinasha
    Shinasha is a North Omotic language spoken by the Shinasha people of western Ethiopia.
  • 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: Bagasara
Triple: [Amreli district, contains, Bagasara]
Generated description
Bagasara is a town in the Amreli district of Gujarat, India, known for its local commerce and regional cultural significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bagasara
Target entity description: Bagasara is a town in the Amreli district of Gujarat, India, known for its local commerce and regional cultural significance.
  • A. Baljurashi
    Baljurashi is a city in southwestern Saudi Arabia known for its mountainous terrain, cool climate, and location within the Al Bahah region.
  • B. Balasagun
    Balasagun was a prominent medieval Central Asian city in the Chüy Valley, historically significant as a political and cultural center along the Silk Road.
  • C. Sraosha
    Sraosha is a key Zoroastrian divinity associated with obedience, religious devotion, and the protection of the righteous, often depicted as a guardian against evil forces.
  • D. Bakana
    Bakana is a town and traditional community of the Kalabari people in the Niger Delta region of Rivers State, Nigeria.
  • E. Shinasha
    Shinasha is a North Omotic language spoken by the Shinasha people of western Ethiopia.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e504d8c8190ad6c565a31d1a9bd completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef754c9c8190abdc1d08fd1511cd completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef17e1b8481908600e8f2f60ebe98 completed May 9, 2026, 8:34 a.m.
NED2 Entity disambiguation (via description) batch_69fef1e8e41481908f2c8ebe1b1036fa completed May 9, 2026, 8:35 a.m.
Created at: April 10, 2026, 3:15 a.m.