Triple

T17082227
Position Surface form Disambiguated ID Type / Status
Subject North Redondo E414500 entity
Predicate hasDirectionRelativeToCity P82745 FINISHED
Object northern part of Redondo Beach LITERAL 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: northern part of Redondo Beach | Statement: [North Redondo, hasDirectionRelativeToCity, northern part of Redondo Beach]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDirectionRelativeToCity
Context triple: [North Redondo, hasDirectionRelativeToCity, northern part of Redondo Beach]
  • A. hasRelativePositionInCity
    Indicates that one entity occupies a specific spatial or positional relationship within the boundaries or layout of a particular city.
  • B. distanceFromCityCenterDirection
    Indicates the distance and compass direction of a location relative to the center of a specified city.
  • C. directionFromCityCenter
    Indicates the compass direction in which one location lies relative to the city center.
  • D. geographicDirectionWithinCountry
    Indicates that one place lies in a specified cardinal or intercardinal direction relative to another place within the same country.
  • E. directionWithinCity chosen
    Indicates a directional relationship specifying where something is located or oriented within the boundaries of a particular city.
  • F. None of above.

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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe408d48190b4f52c2102eae7c2 completed April 18, 2026, 7:30 p.m.
PD Predicate disambiguation batch_69e35d67b14481909fcdbdeaa5c34785 completed April 18, 2026, 10:31 a.m.
Created at: April 10, 2026, 5:35 a.m.