Triple

T3609035
Position Surface form Disambiguated ID Type / Status
Subject Beira Litoral E76438 entity
Predicate includesCity P3207 FINISHED
Object Penela E374183 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: Penela | Statement: [Beira Litoral, includesCity, Penela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penela
Context triple: [Beira Litoral, includesCity, Penela]
  • A. Penela chosen
    Penela is a historic municipality in central Portugal known for its medieval castle and scenic location within the Coimbra District.
  • B. Peren
    Peren is a town and administrative center in the northeastern Indian state of Nagaland.
  • C. Pankshin
    Pankshin is a town and local government area in central Nigeria known as an administrative and educational center within Plateau State.
  • D. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • E. Kuanua
    Kuanua is an Austronesian language spoken primarily by the Tolai people of East New Britain in Papua New Guinea.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22a3cf081908c20b6fb55be0db2 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f02b3c081909705e05ac923f840 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:22 p.m.