Triple

T21823438
Position Surface form Disambiguated ID Type / Status
Subject Geophysical Research Letters E538785 entity
Predicate indexingService P6000 FINISHED
Object GeoRef NE NERFINISHED

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: GeoRef | Statement: [Geophysical Research Letters, indexingService, GeoRef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GeoRef
Context triple: [Geophysical Research Letters, indexingService, GeoRef]
  • A. GeoRef chosen
    GeoRef is a comprehensive geoscience bibliographic database covering worldwide literature in geology and related earth sciences.
  • B. ScienceDirect
    ScienceDirect is a leading full-text scientific database providing access to a large collection of peer-reviewed journals and books across numerous disciplines.
  • C. BGS OpenGeoscience
    BGS OpenGeoscience is an online platform from the British Geological Survey providing free access to a wide range of UK geological data, maps, and digital resources.
  • D. CiteSeerX
    CiteSeerX is a public digital library and search engine that focuses on indexing and providing access to scientific and academic research papers, particularly in computer and information science.
  • E. Geoscience Data Journal
    Geoscience Data Journal is a peer-reviewed scientific journal dedicated to publishing high-quality, citable datasets and data-focused research in the geosciences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0912f69f08190b06c718aa35c2bf0 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.