Triple

T15128729
Position Surface form Disambiguated ID Type / Status
Subject Asbury Automotive Group E361359 entity
Predicate tickerSymbol P1447 FINISHED
Object ABG E539235 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: ABG | Statement: [Asbury Automotive Group, tickerSymbol, ABG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABG
Context triple: [Asbury Automotive Group, tickerSymbol, ABG]
  • A. ABG
    ABG is the vehicle registration code used on license plates for vehicles registered in the Altenburger Land district in Germany.
  • B. ABG chosen
    ABG is a global brand development, marketing, and entertainment company known for owning and managing a large portfolio of consumer brands and intellectual property.
  • C. ADGB
    ADGB was the main federation of free trade unions in Germany during the Weimar Republic, representing millions of workers until its suppression by the Nazi regime.
  • D. ABY
    ABY is the ICAO airline designator used to identify Air Arabia in international aviation operations.
  • E. ABY
    ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005aff2648190bda885c09421758d completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f865c08190ab8fd15c14d0c06c completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:06 a.m.