Triple

T1788558
Position Surface form Disambiguated ID Type / Status
Subject Sierra de San Borja E39442 entity
Predicate distanceToCoastCharacteristic P16235 FINISHED
Object inland from Gulf of California 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: inland from Gulf of California | Statement: [Sierra de San Borja, distanceToCoastCharacteristic, inland from Gulf of California]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distanceToCoastCharacteristic
Context triple: [Sierra de San Borja, distanceToCoastCharacteristic, inland from Gulf of California]
  • A. distanceFromCoast
    Indicates the measured spatial separation between a location and the nearest point on a coastline.
  • B. hasNearbyCoast
    Indicates that one location is situated close to a coastline or seashore.
  • C. positionRelativeToCoast chosen
    Indicates the spatial relationship of something to a coastline, such as its distance or orientation relative to the coast.
  • D. containsCoastalFeature
    Indicates that one entity geographically includes or encompasses a coastal feature (such as a beach, cliff, bay, or shoreline) within its area or boundaries.
  • E. distanceToPacificOcean
    Indicates the physical distance between a given location or entity and the Pacific Ocean.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab75457e54819096b8c6ae8c65550c completed March 7, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69aa61d165688190924962a98e07ff69 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:32 p.m.