Triple

T13036896
Position Surface form Disambiguated ID Type / Status
Subject Salem district E326583 entity
Predicate hasNationalHighway P385 FINISHED
Object NH544 E327000 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: NH544 | Statement: [Salem district, hasNationalHighway, NH544]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NH544
Context triple: [Salem district, hasNationalHighway, NH544]
  • A. NH 544 chosen
    NH 544 is a major Indian National Highway in southern India that connects key cities in Tamil Nadu and Kerala, serving as an important route for regional trade and travel.
  • B. N-55
    N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
  • C. BN44
    BN44 is a UK postal district within the BN postcode area, covering Steyning and surrounding parts of West Sussex.
  • D. N-45
    N-45 is a national highway in Pakistan that serves as a key route connecting the Lowari Pass area with other regions of the country.
  • E. 51N4E
    51N4E is a Brussels-based architecture and urban design practice known for its innovative, socially engaged projects across Europe.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd12eec81908ad5dae638c2210e completed May 3, 2026, 4:15 a.m.
Created at: April 9, 2026, 8:55 p.m.