Triple

T4611313
Position Surface form Disambiguated ID Type / Status
Subject Salim Chishti E100562 entity
Predicate honorificTitle P2097 FINISHED
Object Hazrat
Hazrat is an Islamic honorific title used to show deep respect and reverence for esteemed religious figures and saints.
 E456114 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: Hazrat | Statement: [Salim Chishti, honorificTitle, Hazrat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hazrat
Context triple: [Salim Chishti, honorificTitle, Hazrat]
  • A. Humera
    Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
  • B. Hasana
    Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
  • C. Maham
    Maham is a town in the Rohtak district of the northern Indian state of Haryana, known for its historical significance and local markets.
  • D. Hadda
    Hadda was an important ancient Buddhist monastic and artistic center in the Gandhara region, renowned for its rich collection of Greco-Buddhist sculptures and monasteries.
  • E. Rushan
    Rushan is a county-level coastal city in eastern Shandong Province, China, known for its fishing industry, beaches, and marine-based economy.
  • 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: Hazrat
Triple: [Salim Chishti, honorificTitle, Hazrat]
Generated description
Hazrat is an Islamic honorific title used to show deep respect and reverence for esteemed religious figures and saints.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hazrat
Target entity description: Hazrat is an Islamic honorific title used to show deep respect and reverence for esteemed religious figures and saints.
  • A. Humera
    Humera is a town in northwestern Ethiopia near the borders with Eritrea and Sudan, known for its strategic location and sesame production.
  • B. Hasana
    Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
  • C. Maham
    Maham is a town in the Rohtak district of the northern Indian state of Haryana, known for its historical significance and local markets.
  • D. Hadda
    Hadda was an important ancient Buddhist monastic and artistic center in the Gandhara region, renowned for its rich collection of Greco-Buddhist sculptures and monasteries.
  • E. Rushan
    Rushan is a county-level coastal city in eastern Shandong Province, China, known for its fishing industry, beaches, and marine-based economy.
  • 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_69bd43cce1e08190a07d53af6a9b6c24 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59bffbf08190b13ef0810e6f9d19 completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa836f488190bb320e8cb393a286 completed March 21, 2026, 1:55 a.m.
NEDg Description generation batch_69bdfbea628c81908f96e706d650ef9f completed March 21, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc97fc54819093e0cff18a40bde2 completed March 21, 2026, 2:04 a.m.
Created at: March 20, 2026, 1:12 p.m.