Triple

T7165651
Position Surface form Disambiguated ID Type / Status
Subject Tiruchirappalli district E167060 entity
Predicate legislativeAssemblyConstituency P23217 FINISHED
Object Musiri E645543 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: Musiri | Statement: [Tiruchirappalli district, legislativeAssemblyConstituency, Musiri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musiri
Context triple: [Tiruchirappalli district, legislativeAssemblyConstituency, Musiri]
  • A. Musiri chosen
    Musiri is a town in the Indian state of Tamil Nadu, known as an agricultural and commercial center situated along the Kaveri River.
  • B. Musi
    Musi is a river in Indonesia that flows through the city of Palembang in South Sumatra and serves as an important transportation and economic waterway.
  • C. Muti
    Muti is an Italian surname most prominently associated with renowned conductor Riccardo Muti.
  • D. Timbaki
    Timbaki is a small coastal town in southern Crete, Greece, known for its agricultural production and proximity to archaeological sites such as Phaistos.
  • E. M’kira
    M’kira is a small town and commune located in Tizi Ouzou Province in northern Algeria, within the Kabylie 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e832d2548190aacff0de80dbc268 completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b901cb608190acd25c22b38a1957 completed March 28, 2026, 11:18 a.m.
Created at: March 27, 2026, 2:47 p.m.