Triple

T2273563
Position Surface form Disambiguated ID Type / Status
Subject Darbhanga district E50716 entity
Predicate hasTown P847 FINISHED
Object Baheri
Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
 E250893 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: Baheri | Statement: [Darbhanga district, hasTown, Baheri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baheri
Context triple: [Darbhanga district, hasTown, Baheri]
  • A. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • B. Oceano
    Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
  • C. The High Seas
    "The High Seas" is an episode of the nature documentary series "Our Planet" that explores the diverse and often unseen life and ecosystems found in the open ocean.
  • D. Oea
    Oea was an important ancient city in North Africa, located on the site of modern-day Tripoli in present-day Libya.
  • E. Adalar
    Adalar is a district of Istanbul composed of the Princes' Islands, known for its historic wooden houses, car-free streets, and seaside resorts in the Sea of Marmara.
  • 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: Baheri
Triple: [Darbhanga district, hasTown, Baheri]
Generated description
Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baheri
Target entity description: Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
  • A. Océan
    Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
  • B. Oceano
    Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
  • C. The High Seas
    "The High Seas" is an episode of the nature documentary series "Our Planet" that explores the diverse and often unseen life and ecosystems found in the open ocean.
  • D. Oea
    Oea was an important ancient city in North Africa, located on the site of modern-day Tripoli in present-day Libya.
  • E. Adalar
    Adalar is a district of Istanbul composed of the Princes' Islands, known for its historic wooden houses, car-free streets, and seaside resorts in the Sea of Marmara.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1ea6cc88190982527774223127f completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71ddc66c81909525394a8b2bb4e0 completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae75ba1a988190ba59d3ce5e5c39a8 completed March 9, 2026, 7:24 a.m.
NED2 Entity disambiguation (via description) batch_69ae76246f6c81909a15262d2c4ea975 completed March 9, 2026, 7:26 a.m.
Created at: March 4, 2026, 7:48 p.m.