Triple

T5413475
Position Surface form Disambiguated ID Type / Status
Subject Delhi–Meerut Expressway E121066 entity
Predicate hasSection P35 FINISHED
Object Phase 3: Dasna to Hapur E389852 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: Phase 3: Dasna to Hapur | Statement: [Delhi–Meerut Expressway, hasSection, Phase 3: Dasna to Hapur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phase 3: Dasna to Hapur
Context triple: [Delhi–Meerut Expressway, hasSection, Phase 3: Dasna to Hapur]
  • A. Digha
    Digha is a popular seaside resort town in the Indian state of West Bengal, known for its long, shallow beaches along the Bay of Bengal.
  • B. Hapur chosen
    Hapur is a city in the Indian state of Uttar Pradesh, known as an industrial and grain market hub within the Delhi metropolitan area.
  • C. Arbaeen
    Arbaeen is a major Shia Muslim religious observance marking the end of the 40-day mourning period for the martyrdom of Husayn ibn Ali at the Battle of Karbala, commemorated by one of the world’s largest annual pilgrimages.
  • D. Bhaga
    Bhaga is a Vedic Hindu deity associated with the distribution of wealth, fortune, and prosperity among beings.
  • E. Thari
    Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87bb3c0c81908711784bc865ff03 completed March 20, 2026, 5:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aa3e1988190ac484c91022dc08b completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:05 p.m.