Triple

T14672958
Position Surface form Disambiguated ID Type / Status
Subject Labro E344557 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Labro E344557 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: Labro | Statement: [Labro, hasMunicipalSeat, Labro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Labro
Context triple: [Labro, hasMunicipalSeat, Labro]
  • A. Labro chosen
    Labro is a small medieval hilltop village in central Italy known for its well-preserved historic architecture and scenic views over Lake Piediluco.
  • B. Labriola
    Labriola is an Italian surname borne by several notable figures, including philosophers, politicians, and writers.
  • C. Labi
    Labi is the given name of Labi Siffre, a British singer-songwriter, poet, and musician known for his soulful music and socially conscious lyrics.
  • D. Lubina
    Lubina is a village and administrative part of the town of Kopřivnice in the Moravian-Silesian Region of the Czech Republic.
  • E. Pastine
    Pastine is an Italian surname most notably associated with Giovanni Battista Pastine, an early 20th-century Italian aviator.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb55064cc8190b9669d0b2da61825 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde17c24e0819089dd9606298f5ac9 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.