Triple

T15705010
Position Surface form Disambiguated ID Type / Status
Subject Redondo E380684 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Redondo (town) E380684 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: Redondo (town) | Statement: [Redondo, hasMunicipalSeat, Redondo (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Redondo (town)
Context triple: [Redondo, hasMunicipalSeat, Redondo (town)]
  • A. South Redondo
    South Redondo is the southern coastal neighborhood of Redondo Beach, California, known for its beaches, oceanfront homes, and laid-back seaside atmosphere.
  • B. Redondo chosen
    Redondo is a municipality and town in Portugal’s Alentejo region, known for its wine production, traditional pottery, and well-preserved historic architecture.
  • C. Redondo Municipality
    Redondo Municipality is a local administrative region in southern Portugal known for its wine production, traditional pottery, and historic rural landscapes.
  • D. North Redondo
    North Redondo is the inland, more residential and commercially mixed section of Redondo Beach in Los Angeles County, California.
  • E. Town of Reddick
    The Town of Reddick is a small rural community in north-central Florida known for its agricultural surroundings and proximity to the city of Ocala.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6fc3608190a85b25755f5345db completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757997348190b29a9b55ba08169f completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.