Triple

T16265328
Position Surface form Disambiguated ID Type / Status
Subject Noida Metro E394859 entity
Predicate hasStation P35 FINISHED
Object Noida Sector 76 E463211 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: Noida Sector 76 | Statement: [Noida Metro, hasStation, Noida Sector 76]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Noida Sector 76
Context triple: [Noida Metro, hasStation, Noida Sector 76]
  • A. Noida Sector 76 chosen
    Noida Sector 76 is a metro station on the Noida Metro’s Aqua Line serving the residential and commercial areas around Sector 76 in Noida, Uttar Pradesh, India.
  • B. Noida Sector 51
    Noida Sector 51 is a metro station in Noida, Uttar Pradesh, that serves as a key transit point on the Noida Metro network and an interchange hub with the Delhi Metro system.
  • C. Noida Sector 50
    Noida Sector 50 is a metro station on the Noida Metro Aqua Line serving the residential Sector 50 area of Noida, Uttar Pradesh, India.
  • D. Noida Sector 137
    Noida Sector 137 is a metro station on the Aqua Line of the Noida Metro serving the residential and commercial areas around Sector 137 in Noida, Uttar Pradesh, India.
  • E. Noida Sector 101
    Noida Sector 101 is a metro station in Noida, Uttar Pradesh, India, serving residential and commercial areas along the Noida Metro’s Aqua Line.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c73944819085633e6d2a69bae9 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00580b94c88190a3330791e505fd6a completed May 10, 2026, 10:03 a.m.
Created at: April 10, 2026, 5:05 a.m.