Triple

T3831930
Position Surface form Disambiguated ID Type / Status
Subject MG ZS E91031 entity
Predicate safetyFeature P642 FINISHED
Object ABS
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.
 E392659 NE FINISHED

How this triple was built (4 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: [MG ZS, safetyFeature, ABS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ABS
Context triple: [MG ZS, safetyFeature, ABS]
  • A. ABS
    ABS is the stock ticker symbol for ABS-CBN Corporation, a major Philippine media and entertainment company.
  • B. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • C. ABL
    ABL is the IATA airport code assigned to Ambrolauri Airport in Georgia.
  • D. AB
    AB is the official vehicle registration code used on license plates for vehicles registered in Abia State, Nigeria.
  • E. AB
    AB is the official two-letter Canada Post abbreviation used to designate the province of Alberta in mailing addresses.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ABS
Triple: [MG ZS, safetyFeature, ABS]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ABS
Target entity description: 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.
  • A. ABS
    ABS is the stock ticker symbol for ABS-CBN Corporation, a major Philippine media and entertainment company.
  • B. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • C. ABL
    ABL is the IATA airport code assigned to Ambrolauri Airport in Georgia.
  • D. AB
    AB is the official vehicle registration code used on license plates for vehicles registered in Abia State, Nigeria.
  • E. AB
    AB is the commonly used abbreviation for Hungary’s Constitutional Court, the country’s highest body for constitutional review.
  • F. None of above. chosen

Provenance (5 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb8787bc8190819a7af975b609df completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503fcddb481909690b708754d3d8a completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b5057089e88190b3c5b85503b3f8fa completed March 14, 2026, 6:51 a.m.
NED2 Entity disambiguation (via description) batch_69b505ec14b481909b71e66d68473c20 completed March 14, 2026, 6:53 a.m.
Created at: March 9, 2026, 3:17 p.m.