Triple

T14505802
Position Surface form Disambiguated ID Type / Status
Subject EDPS E340260 entity
Predicate hasAbbreviation P43 FINISHED
Object EDPS E340260 NE 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: EDPS | Statement: [EDPS, hasAbbreviation, EDPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDPS
Context triple: [EDPS, hasAbbreviation, EDPS]
  • A. EDPS chosen
    EDPS is the independent supervisory authority responsible for ensuring that European Union institutions and bodies respect the right to privacy and data protection.
  • B. EDSD
    EDSD is the commonly used abbreviation for the Episcopal Diocese of San Diego, a regional jurisdiction of the Episcopal Church in Southern California.
  • C. EDDS
    EDDS is the ICAO airport code designating Stuttgart Airport in Germany.
  • D. EGPD
    EGPD is the ICAO airport code for Aberdeen International Airport, a major airport serving the city of Aberdeen and the surrounding region in northeast Scotland.
  • E. ECPD
    ECPD is the former name of ABET, the primary U.S. organization responsible for accrediting college and university programs in applied science, computing, engineering, and engineering technology.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e25a2481908b8394e9a19f3b64 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da07ff481909fb2463b0ea92849 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.