Triple

T34793777
Position Surface form Disambiguated ID Type / Status
Subject OSGB36 E1003013 entity
Predicate globalAccuracyRelativeToWGS84 P62233 FINISHED
Object lower than modern global datums 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: lower than modern global datums | Statement: [OSGB36, globalAccuracyRelativeToWGS84, lower than modern global datums]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: globalAccuracyRelativeToWGS84
Context triple: [OSGB36, globalAccuracyRelativeToWGS84, lower than modern global datums]
  • A. geodeticEffectAccuracy
    Indicates the degree to which the measured or modeled geodetic effect matches its true or reference value in terms of precision and correctness.
  • B. typicalHorizontalAccuracy
    Indicates the usual or expected degree of precision in the horizontal (x–y) position of a measurement or location estimate.
  • C. elevationAccuracy
    Indicates the degree of precision or reliability associated with a measured or reported elevation value in the relationship.
  • D. azimuthAccuracy
    Indicates the degree of precision or allowable error in the measured or specified azimuth angle between entities.
  • E. hasAccuracy chosen
    Indicates that something possesses a specified level or measure of correctness, precision, or exactness in relation to a standard or reference.
  • 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_69f76db543808190b188c6c86a91491b completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77ffa6b68819090257fed3802c239 completed May 3, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69f7795978c481909e152cd1bd02dd07 completed May 3, 2026, 4:35 p.m.
Created at: May 3, 2026, 3:59 p.m.