Triple

T21478879
Position Surface form Disambiguated ID Type / Status
Subject Morbi Municipality E529933 entity
Predicate locatedIn P40 FINISHED
Object Morbi NE NERFINISHED

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: Morbi | Statement: [Morbi Municipality, locatedIn, Morbi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morbi
Context triple: [Morbi Municipality, locatedIn, Morbi]
  • A. Morbi chosen
    Morbi is a city in the Indian state of Gujarat, known for its ceramic industry and historic architecture along the Machhu River.
  • B. Mutassim
    Mutassim is a Libyan political figure best known as one of Muammar Gaddafi’s sons, who held senior security and military roles in his father’s regime.
  • C. Tabasaran
    Tabasaran is a Northeast Caucasian language spoken primarily by the Tabasaran people in southern Dagestan, Russia.
  • D. Murge
    Murge is a karst plateau region in southern Italy, spanning parts of Apulia and Basilicata and known for its rocky landscapes, ravines, and traditional rural settlements.
  • E. Guardo
    Guardo is a small town in northern Spain known for its location in the mountainous province of Palencia within the autonomous community of Castile and León.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea1a37a88190845810cbcacbad65 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:20 p.m.