Triple

T8294534
Position Surface form Disambiguated ID Type / Status
Subject Guntur district E194180 entity
Predicate hasTown P847 FINISHED
Object Repalle E700713 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: Repalle | Statement: [Guntur district, hasTown, Repalle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Repalle
Context triple: [Guntur district, hasTown, Repalle]
  • A. Repalle chosen
    Repalle is a town in the Bapatla district of Andhra Pradesh, India, known for its agricultural surroundings and a terminus railway station on a branch line from Guntur.
  • B. Kammala
    Kammala was a historical figure known primarily as one of the children of Zhenjin, the Crown Prince of the Yuan dynasty and son of Kublai Khan.
  • C. Gunamala
    Gunamala is a concise Assamese devotional scripture that encapsulates the essence of the Bhagavata Purana, composed by the saint-scholar Srimanta Sankardev.
  • D. Kacheguda
    Kacheguda is a major railway station in Hyderabad, India, serving as an important junction and hub for regional and long-distance trains.
  • E. Allagadda
    Allagadda is a town and legislative assembly constituency in the Nandyal district of Andhra Pradesh, India.
  • 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_69ca82e50ebc81909aa7b260c76bd757 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7df5fff88190ac51a8d1c3eb2fe2 completed March 31, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68a3258481908fe04fed1d00c9ba completed April 1, 2026, 6:49 p.m.
Created at: March 30, 2026, 5:52 p.m.