Triple

T15918014
Position Surface form Disambiguated ID Type / Status
Subject El Cerrito archaeological zone E386018 entity
Predicate hasBaseDimensions P3645 FINISHED
Object approximately 130 meters per side 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: approximately 130 meters per side | Statement: [El Cerrito archaeological zone, hasBaseDimensions, approximately 130 meters per side]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBaseDimensions
Context triple: [El Cerrito archaeological zone, hasBaseDimensions, approximately 130 meters per side]
  • A. hasDimension chosen
    Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
  • B. hasBaseArea
    Indicates that one entity has a base whose surface area is quantified or associated with another entity.
  • C. hasSIBaseDimensionSymbol
    Indicates that a physical quantity or unit is associated with a specific SI base dimension symbol (e.g., L, M, T) representing its fundamental dimensional nature.
  • D. hasBaselineLength
    Indicates that one entity has a specified baseline length measurement in relation to another entity or reference.
  • E. hasStandardizedDimensions
    Indicates that an entity conforms to a predefined, uniform set of measurements or size specifications.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e172b48b308190bc430b2308cbc75b completed April 16, 2026, 11:37 p.m.
PD Predicate disambiguation batch_69e142cf5c548190a931f7b58144cd31 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:52 a.m.