Triple

T3878340
Position Surface form Disambiguated ID Type / Status
Subject Citroën Xsara E92558 entity
Predicate hasSafetyFeature P2368 FINISHED
Object ABS E392659 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: ABS | Statement: [Citroën Xsara, hasSafetyFeature, ABS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABS
Context triple: [Citroën Xsara, hasSafetyFeature, ABS]
  • A. ABS
    ABS is the stock ticker symbol for ABS-CBN Corporation, a major Philippine media and entertainment company.
  • B. ABS chosen
    ABS (Anti-lock Braking System) is a vehicle safety technology that prevents the wheels from locking during braking to maintain steering control and reduce stopping distances on slippery surfaces.
  • C. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • D. ABL
    ABL is the IATA airport code assigned to Ambrolauri Airport in Georgia.
  • E. AB
    AB is the official vehicle registration code used on license plates for vehicles registered in Abia State, Nigeria.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec72fa7c81909c73b3cf90597e9a completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51253da2081908689f06975fb4db1 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.