Triple

T12952412
Position Surface form Disambiguated ID Type / Status
Subject Sangrur E309922 entity
Predicate hasNearbyCity P350 FINISHED
Object Malerkotla E816411 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: Malerkotla | Statement: [Sangrur, hasNearbyCity, Malerkotla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malerkotla
Context triple: [Sangrur, hasNearbyCity, Malerkotla]
  • A. Malerkotla chosen
    Malerkotla is a historic town in the Indian state of Punjab, known for its princely state legacy and a longstanding reputation for communal harmony.
  • B. Tlokwa
    Tlokwa is a Sotho–Tswana-speaking ethnic group in Southern Africa, historically organized into chiefdoms and known for its distinct cultural and linguistic identity within the broader Sotho–Tswana peoples.
  • C. Thohoyandou
    Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
  • D. Bophelong
    Bophelong is a township in the Emfuleni area of Gauteng, South Africa, known as a residential community near the industrial city of Vanderbijlpark.
  • E. Masandawana
    Masandawana is the popular nickname of South African football club Mamelodi Sundowns F.C., one of the country’s most successful and widely supported teams.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1edcdc8190a702c2a5ea58cc67 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8dc135c819091b7708d90db25cb completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:43 p.m.