Triple

T7844795
Position Surface form Disambiguated ID Type / Status
Subject Jodhpur district E181896 entity
Predicate containsTown P847 FINISHED
Object Bilara
Bilara is a town in the Indian state of Rajasthan, known as a local commercial and administrative center within the Jodhpur region.
 E699856 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: Bilara | Statement: [Jodhpur district, containsTown, Bilara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bilara
Context triple: [Jodhpur district, containsTown, Bilara]
  • A. Barara
    Barara is a town in the Ambala district of the northern Indian state of Haryana, known primarily as a local administrative and market center for surrounding rural areas.
  • B. Ballana
    Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
  • C. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • D. Marga
    Marga is a feminine given name, commonly used as a short or diminutive form of names like Margarita or Margareta.
  • E. Byala
    Byala is a Bulgarian town situated along the Yantra River, known for its historic bridge and regional administrative role.
  • 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: Bilara
Triple: [Jodhpur district, containsTown, Bilara]
Generated description
Bilara is a town in the Indian state of Rajasthan, known as a local commercial and administrative center within the Jodhpur region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bilara
Target entity description: Bilara is a town in the Indian state of Rajasthan, known as a local commercial and administrative center within the Jodhpur region.
  • A. Barara
    Barara is a town in the Ambala district of the northern Indian state of Haryana, known primarily as a local administrative and market center for surrounding rural areas.
  • B. Ballana
    Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
  • C. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • D. Marga
    Marga is a feminine given name, commonly used as a short or diminutive form of names like Margarita or Margareta.
  • E. Byala
    Byala is a Bulgarian town situated along the Yantra River, known for its historic bridge and regional administrative role.
  • 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_69ca8285d6488190a95d4c02d7354b53 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb163d92fc8190a4efcb08d6b3d404 completed March 31, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5ae9758c819091e270343ed289aa completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb762eab0881909c5035b3086dfdd9 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb801cc0c8190864d28e199eb5e67 completed March 31, 2026, 12:03 p.m.
Created at: March 30, 2026, 4:48 p.m.