Triple

T15175554
Position Surface form Disambiguated ID Type / Status
Subject National Highway 66 E362598 entity
Predicate connectsCity P4245 FINISHED
Object Karwar E102301 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: Karwar | Statement: [National Highway 66, connectsCity, Karwar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karwar
Context triple: [National Highway 66, connectsCity, Karwar]
  • A. Karwar chosen
    Karwar is a coastal city in the Indian state of Karnataka, known for its beaches, port, and role as a key urban center in the Konkan region.
  • B. Margao
    Margao is a major commercial and cultural city in South Goa, India, known for its historic Portuguese influence and role as a gateway to nearby beaches.
  • C. Tarapur
    Tarapur is a town in the Anand district of Gujarat, India, known as a local commercial and agricultural center.
  • D. Sewri
    Sewri is a neighborhood in Mumbai, India, known for its railway station on the city’s suburban network and its location along the eastern waterfront.
  • E. Rajkot
    Rajkot is a major city in the Indian state of Gujarat, known as an important commercial and cultural center of the Saurashtra region.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0066236d481909e8ac47f496861ad completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2a2eb48190a569847d2f583c61 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:09 a.m.