Triple

T10123149
Position Surface form Disambiguated ID Type / Status
Subject American Standard Version E223346 entity
Predicate hasAbbreviation P43 FINISHED
Object ASV E842639 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: ASV | Statement: [American Standard Version, hasAbbreviation, ASV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASV
Context triple: [American Standard Version, hasAbbreviation, ASV]
  • A. ASV chosen
    ASV is a 1901 English Bible translation known for its formal, literal rendering of the original Hebrew and Greek texts.
  • B. AVSM
    AVSM is the post-nominal abbreviation used by recipients of the Ati Vishisht Seva Medal, a high-level Indian military decoration for distinguished service.
  • C. ASSE
    ASSE is the commonly used abbreviation for AS Saint-Étienne, a historic French professional football club known for its success in Ligue 1.
  • D. AVV
    AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
  • E. ASZ
    ASZ is a German vehicle registration code formerly used for the town of Aue-Schwarzenberg in the Erzgebirgskreis district of Saxony.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2ea7fe88190acb08d292a794638 completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5b6101081909c97956591b01af9 completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:05 p.m.