Triple

T7840361
Position Surface form Disambiguated ID Type / Status
Subject Ghagra E181789 entity
Predicate hasAlternativeName P39 FINISHED
Object Ghaghra E181789 NE FINISHED

How this triple was built (2 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: Ghaghra | Statement: [Ghagra, hasAlternativeName, Ghaghra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghaghra
Context triple: [Ghagra, hasAlternativeName, Ghaghra]
  • A. Ghagra chosen
    Ghagra is a traditional long, flared skirt commonly worn by women in parts of South Asia, especially in India and Pakistan, often as part of festive or ceremonial attire.
  • B. Bhainsdehi
    Bhainsdehi is a town in central India known for its proximity to the Tapti River and its surrounding hilly, forested landscape.
  • C. Sangrur
    Sangrur is a city in the Indian state of Punjab known as an agricultural and administrative center within the Malwa region.
  • D. Bhind
    Bhind is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center of the region.
  • E. Dehri-on-Sone
    Dehri-on-Sone is a town in Bihar, India, known as an important regional center for transportation and agriculture along the Sone River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69cb14c589748190b34d0911d373e194 completed March 31, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aca5e348190bb73fc4748093248 completed March 31, 2026, 5:25 a.m.
Created at: March 30, 2026, 4:47 p.m.