Triple

T11827026
Position Surface form Disambiguated ID Type / Status
Subject Gaya district E281283 entity
Predicate contains P35 FINISHED
Object Belaganj
Belaganj is a town and administrative block in the Gaya district of Bihar, India.
 E948571 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: Belaganj | Statement: [Gaya district, contains, Belaganj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Belaganj
Context triple: [Gaya district, contains, Belaganj]
  • A. Keraniganj
    Keraniganj is a suburban upazila of Dhaka, Bangladesh, known for its dense population, river-based commerce, and numerous garment and brick industries.
  • B. Khamgaon
    Khamgaon is a city in the Buldhana district of Maharashtra, India, known as a regional commercial and educational center.
  • C. Baghmara
    Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
  • D. Dergaon
    Dergaon is a prominent town in Assam, India, known for its historical significance and role as an important local center within the Golaghat district.
  • E. Satgaon
    Satgaon was a historically significant port city in the Bengal region, flourishing as a major center of trade and commerce under the Bengal Sultanate.
  • 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: Belaganj
Triple: [Gaya district, contains, Belaganj]
Generated description
Belaganj is a town and administrative block in the Gaya district of Bihar, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Belaganj
Target entity description: Belaganj is a town and administrative block in the Gaya district of Bihar, India.
  • A. Keraniganj
    Keraniganj is a suburban upazila of Dhaka, Bangladesh, known for its dense population, river-based commerce, and numerous garment and brick industries.
  • B. Khamgaon
    Khamgaon is a city in the Buldhana district of Maharashtra, India, known as a regional commercial and educational center.
  • C. Baghmara
    Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
  • D. Dergaon
    Dergaon is a prominent town in Assam, India, known for its historical significance and role as an important local center within the Golaghat district.
  • E. Satgaon
    Satgaon was a historically significant port city in the Bengal region, flourishing as a major center of trade and commerce under the Bengal Sultanate.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ec3a148190bb184ba0d481b16a completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f132062b108190ad33656c386ee603 completed April 28, 2026, 10:17 p.m.
NEDg Description generation batch_69f14e8ada3481908ec456c41827160c completed April 29, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69f1571e4ba08190824db812ffc5f35a completed April 29, 2026, 12:55 a.m.
Created at: April 8, 2026, 9:43 p.m.