Triple

T14249509
Position Surface form Disambiguated ID Type / Status
Subject Ameerpet E353219 entity
Predicate hasRoadConnectivity P51093 FINISHED
Object NH 65 E476042 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: NH 65 | Statement: [Ameerpet, hasRoadConnectivity, NH 65]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NH 65
Context triple: [Ameerpet, hasRoadConnectivity, NH 65]
  • A. NH 65 chosen
    NH 65 is a major National Highway in India that runs east–west, connecting the states of Maharashtra, Karnataka, Telangana, and Andhra Pradesh.
  • B. NH 35
    NH 35 is a major Indian National Highway that connects key cities and regions across the state of Uttar Pradesh.
  • C. NH 544
    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.
  • D. NH 75
    NH 75 is a former designation of a major Indian national highway that was renumbered and incorporated into the extensive National Highway 44 route.
  • E. NH 32
    NH 32 is a national highway in India that connects various towns and cities in Tamil Nadu, including Tiruvarur, facilitating regional road transport and trade.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6295ef9081909cfb0c1283bca21a completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325815d48190b070866f41986847 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:08 a.m.