Triple

T14198234
Position Surface form Disambiguated ID Type / Status
Subject Santa Cruz das Flores E351895 entity
Predicate hasParish P35 FINISHED
Object Cedros E339273 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: Cedros | Statement: [Santa Cruz das Flores, hasParish, Cedros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cedros
Context triple: [Santa Cruz das Flores, hasParish, Cedros]
  • A. Cedros chosen
    Cedros is a civil parish on Faial Island in Portugal’s Azores archipelago, known for its rural landscape and traditional Azorean character.
  • B. Cedros
    Cedros is a municipality located in the Francisco Morazán Department of central Honduras.
  • C. Perea
    Perea was a region east of the Jordan River in the early 1st century CE, forming part of Herod Antipas’s tetrarchy within the broader territory of Roman-era Judea.
  • D. Palo Cedro
    Palo Cedro is a small unincorporated community in Northern California known for its rural character and proximity to the city of Redding.
  • E. Lozoya
    Lozoya is a small municipality in the Sierra Norte region of the Community of Madrid, Spain, known for its mountainous landscapes and proximity to the Lozoya River.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e30f208190b61c1c7bd3501156 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194d14008190a74021ff5a3e51d1 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.