Triple

T18139558
Position Surface form Disambiguated ID Type / Status
Subject CONSER E434224 entity
Predicate usesStandard P1587 FINISHED
Object RDA 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: RDA | Statement: [CONSER, usesStandard, RDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RDA
Context triple: [CONSER, usesStandard, RDA]
  • A. RDA
    RDA is a powerful interstellar mining corporation in the Avatar universe, known for exploiting extraterrestrial resources such as those on the moon Pandora.
  • B. RDA
    RDA is the National Rail station code for Redland railway station in Bristol, England.
  • C. RDA chosen
    RDA (Resource Description and Access) is a modern international cataloguing standard used by libraries to describe and provide access to information resources in both digital and physical formats.
  • D. RDA
    RDA is the national agency in Sri Lanka responsible for planning, developing, and maintaining the country’s road network and related infrastructure.
  • E. Joint Steering Committee for Development of RDA
    The Joint Steering Committee for Development of RDA is the international body responsible for creating and maintaining the Resource Description and Access (RDA) cataloging standard used by libraries and related institutions.
  • 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_69d8b90aac308190801e2c57d8c5bfe5 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0a59d08190be74c1ecc00a8f3a completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.