Triple

T21545844
Position Surface form Disambiguated ID Type / Status
Subject Malwa region of Madhya Pradesh E531620 entity
Predicate hasMajorCity P316 FINISHED
Object Hatpipliya NE NERFINISHED

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: Hatpipliya | Statement: [Malwa region of Madhya Pradesh, hasMajorCity, Hatpipliya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hatpipliya
Context triple: [Malwa region of Madhya Pradesh, hasMajorCity, Hatpipliya]
  • A. Hatpipliya chosen
    Hatpipliya is a legislative assembly constituency in the central Indian state of Madhya Pradesh.
  • B. Palapye
    Palapye is a rapidly growing town in central Botswana that serves as a key commercial and transport hub along the country’s main north–south corridor.
  • C. Pihali
    Pihali is a small village located in Rapla County in western Estonia.
  • D. Pipitea
    Pipitea is a central Wellington, New Zealand suburb that includes key government precincts and transport hubs near the city’s waterfront.
  • E. Hakitia
    Hakitia is a Judeo-Spanish dialect historically spoken by North African Sephardic Jews, blending Old Spanish with Hebrew and elements of Arabic.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58ef2548190a81ff51baba76e48 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.