Triple

T17305577
Position Surface form Disambiguated ID Type / Status
Subject Portal E420153 entity
Predicate hasVariant P455 FINISHED
Object Portel E380685 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: Portel | Statement: [Portal, hasVariant, Portel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portel
Context triple: [Portal, hasVariant, Portel]
  • A. Portel chosen
    Portel is a municipality and town in Portugal’s Alentejo region, known for its historic castle and rural landscapes.
  • B. Porta Faul
    Porta Faul is a historic city gate in Viterbo, Italy, notable as part of the town’s medieval defensive walls.
  • C. Portikus
    Portikus is a contemporary art exhibition space in Frankfurt am Main known for its experimental programming and focus on international avant-garde artists.
  • D. Las Portelas
    Las Portelas is a small rural settlement located within Tenerife’s Teno Rural Park in the Canary Islands, Spain.
  • E. La Portellada
    La Portellada is a small rural municipality in the province of Teruel, Aragon, Spain, known for its traditional agriculture and scenic Matarraña (Matarranya) landscape.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e438ff3ee08190ab4c44a22f86b38b completed April 19, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180de8340819081eae1104d705de0 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:43 a.m.