Triple

T19669559
Position Surface form Disambiguated ID Type / Status
Subject Sagar district E472296 entity
Predicate hasTown P847 FINISHED
Object Shahgarh
Shahgarh is a town in the Sagar district of the central Indian state of Madhya Pradesh.
E1392127 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: Shahgarh | Statement: [Sagar district, hasTown, Shahgarh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shahgarh
Context triple: [Sagar district, hasTown, Shahgarh]
  • A. Nowshakh
    Nowshakh is a prominent mountain peak in the Hindu Kush range, located on the border between Afghanistan and Pakistan.
  • B. Farashband
    Farashband is a small city in southern Iran known for its location within Fars Province and its surrounding agricultural and pastoral landscapes.
  • C. Khormuj
    Khormuj is a city in southern Iran that serves as a local urban center within Bushehr Province.
  • D. Bavanat
    Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
  • E. Golestan
    Golestan is a settlement located within Baharestan County in Tehran Province, Iran.
  • 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: Shahgarh
Triple: [Sagar district, hasTown, Shahgarh]
Generated description
Shahgarh is a town in the Sagar district of the central Indian state of Madhya Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shahgarh
Target entity description: Shahgarh is a town in the Sagar district of the central Indian state of Madhya Pradesh.
  • A. Nowshakh
    Nowshakh is a prominent mountain peak in the Hindu Kush range, located on the border between Afghanistan and Pakistan.
  • B. Farashband
    Farashband is a small city in southern Iran known for its location within Fars Province and its surrounding agricultural and pastoral landscapes.
  • C. Khormuj
    Khormuj is a city in southern Iran that serves as a local urban center within Bushehr Province.
  • D. Bavanat
    Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
  • E. Golestan
    Golestan is a settlement located within Baharestan County in Tehran Province, Iran.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416ad1b481908d2890d8c21aac5c completed April 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4e127c481909de5da375990a7b1 completed May 16, 2026, 12:05 a.m.
NEDg Description generation batch_6a07b5b7591081908ee753204b333dbf completed May 16, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_6a07b62591e4819096debaf399d805a3 completed May 16, 2026, 12:11 a.m.
Created at: April 10, 2026, 1:45 p.m.