Triple

T15175545
Position Surface form Disambiguated ID Type / Status
Subject National Highway 66 E362598 entity
Predicate northernTerminus P388 FINISHED
Object Panvel E288896 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: Panvel | Statement: [National Highway 66, northernTerminus, Panvel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panvel
Context triple: [National Highway 66, northernTerminus, Panvel]
  • A. Panvel chosen
    Panvel is a major railway and commercial hub in Navi Mumbai, Maharashtra, serving as an important junction and gateway between Mumbai and the wider Konkan region.
  • B. Belapur
    Belapur is a major suburban node in Navi Mumbai, India, known for its commercial centers, residential areas, and role as a key transport hub.
  • C. Thane
    Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
  • D. Navi Mumbai
    Navi Mumbai is a planned satellite city across the harbor from Mumbai, developed to decongest the main metropolis and featuring organized residential, commercial, and industrial zones.
  • E. Vikhroli
    Vikhroli is a suburban neighborhood in Mumbai known for its residential areas, industrial estates, and proximity to major transport links.
  • 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_69fec88e7ff481909e3d2b280689aeba completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:09 a.m.