Triple

T18982123
Position Surface form Disambiguated ID Type / Status
Subject Morbi State E464453 entity
Predicate capital P234 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 State, capital, Morbi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morbi
Context triple: [Morbi State, capital, 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65d27548190b86d4c5f5b51d809 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.