Triple

T3465867
Position Surface form Disambiguated ID Type / Status
Subject Surat Airport E73133 entity
Predicate nearbyWaterBody P1094 FINISHED
Object Tapti River E149648 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: Tapti River | Statement: [Surat Airport, nearbyWaterBody, Tapti River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tapti River
Context triple: [Surat Airport, nearbyWaterBody, Tapti River]
  • A. Tapti River chosen
    The Tapti River is a major central Indian river that flows westward across Madhya Pradesh, Maharashtra, and Gujarat before emptying into the Arabian Sea.
  • B. Wardha River
    The Wardha River is a major river in central India that flows through Maharashtra and Telangana and forms an important tributary of the Godavari River.
  • C. Amravati
    Amravati is a major city in the Vidarbha region of central India, known as an important commercial and educational center.
  • D. Narmada
    Narmada is a major river in central India, revered in Hinduism and known for flowing westward into the Arabian Sea through a deep rift valley.
  • E. Ghataprabha River
    The Ghataprabha River is a significant river in southern India that flows through Karnataka and Maharashtra, supporting irrigation, agriculture, and hydroelectric projects before joining the Krishna River.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb0f2d3881908a5fa871341564ed completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db5d2fcc8190818b79d873cebcf6 completed March 14, 2026, 10:04 p.m.
Created at: March 8, 2026, 3:17 p.m.