Triple

T19337341
Position Surface form Disambiguated ID Type / Status
Subject Delhi road network E483654 entity
Predicate majorRoad P385 FINISHED
Object Wazirabad Road 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: Wazirabad Road | Statement: [Delhi road network, majorRoad, Wazirabad Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wazirabad Road
Context triple: [Delhi road network, majorRoad, Wazirabad Road]
  • A. Wazirabad Road chosen
    Wazirabad Road is a major arterial route in Delhi, India, linking the Shahdara area with northern parts of the city and facilitating significant commuter and commercial traffic.
  • B. Shahjahan Road
    Shahjahan Road is a prominent thoroughfare in New Delhi, India, known for housing important government and institutional buildings.
  • C. Bhogal Road
    Bhogal Road is a local thoroughfare in the Bhogal area of New Delhi, India, known for its residential neighborhoods and small markets.
  • D. Shershah Road
    Shershah Road is a primary thoroughfare serving as a key transportation route within SITE Town in Karachi, Pakistan.
  • E. Sir Shah Suleman Road
    Sir Shah Suleman Road is a major thoroughfare in Karachi, Pakistan, serving as an important connector through areas including Liaquatabad Town.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61646e89081908c9f1d2cf557672c completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.