Triple

T7120017
Position Surface form Disambiguated ID Type / Status
Subject Jawaharlal Nehru Road E165924 entity
Predicate connectsArea P2564 FINISHED
Object Maidan area E642941 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: Maidan area | Statement: [Jawaharlal Nehru Road, connectsArea, Maidan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maidan area
Context triple: [Jawaharlal Nehru Road, connectsArea, Maidan area]
  • A. Maidan chosen
    Maidan is a vast urban park and open field in central Kolkata, India, known as the city’s “lungs” and a major hub for recreation, sports, and public gatherings.
  • B. Maidan Nezalezhnosti
    Maidan Nezalezhnosti is the central square of Kyiv and a key symbol of Ukrainian political life, known for major public gatherings and revolutionary protests.
  • C. Heroes' Square
    Heroes' Square is a major historic plaza in Budapest, Hungary, renowned for its iconic Millennium Monument and statues honoring national leaders and heroes.
  • D. Majdan Tatarski
    Majdan Tatarski is a district of the city of Lublin in eastern Poland, known primarily as a residential neighborhood.
  • E. Euromaidan
    Euromaidan was a mass pro-European and anti-government protest movement in Ukraine from late 2013 to early 2014 that led to the ousting of President Viktor Yanukovych and a major shift in the country’s political direction.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e61ca6a88190a0eb9f287e3b723c completed March 27, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad86ac688190af97b42d0cb36b84 completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:43 p.m.