Triple

T17299625
Position Surface form Disambiguated ID Type / Status
Subject Daund Junction E420006 entity
Predicate servedCity P3936 FINISHED
Object Daund E974305 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: Daund | Statement: [Daund Junction, servedCity, Daund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daund
Context triple: [Daund Junction, servedCity, Daund]
  • A. Daund chosen
    Daund is a town in the Indian state of Maharashtra known as a local commercial and transportation hub within the Pune region.
  • B. Savogna d’Isonzo
    Savogna d’Isonzo is a small municipality in northeastern Italy, near the border with Slovenia, known for its bilingual Italian-Slovene community and proximity to the Isonzo (Soča) River.
  • C. Brunico
    Brunico is a historic town and popular tourist center in northern Italy’s Alps, known for its medieval old town, castle, and proximity to the Dolomites.
  • D. Morinj
    Morinj is a small coastal village in Montenegro known for its scenic setting along the Bay of Kotor and its tranquil beaches.
  • E. Trebižat
    Trebižat is a karst river in Bosnia and Herzegovina known for its series of waterfalls and underground passages before joining the Neretva 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e438f8efb481908b56172c7f749b62 completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180da5b808190857c51aaa2e85339 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:41 a.m.