Triple

T2792335
Position Surface form Disambiguated ID Type / Status
Subject GNU Binutils E61957 entity
Predicate contains P35 FINISHED
Object ar
ar is a Unix utility for creating, modifying, and extracting from archive files, commonly used to build and manage static libraries.
 E299168 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: ar | Statement: [GNU Binutils, contains, ar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ar
Context triple: [GNU Binutils, contains, ar]
  • A. ARE
    ARE is a professional licensure examination for architects in the United States that assesses candidates’ knowledge and skills required for independent practice.
  • B. ARE
    ARE is the ICAO airline designator assigned to LATAM Airlines Colombia, a major Colombian carrier within the LATAM Airlines Group.
  • C. AR
    AR is the commonly used abbreviation for the Assam Rifles, a paramilitary force of India responsible for security and counterinsurgency operations in the Northeast region.
  • D. AR
    AR is the standard abbreviation for the Romanian Academy, the leading national institution for the promotion of science, culture, and the arts in Romania.
  • E. AR
    AR is the two-letter IATA airline designator assigned to Aerolíneas Argentinas, the flag carrier of Argentina.
  • 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: ar
Triple: [GNU Binutils, contains, ar]
Generated description
ar is a Unix utility for creating, modifying, and extracting from archive files, commonly used to build and manage static libraries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ar
Target entity description: ar is a Unix utility for creating, modifying, and extracting from archive files, commonly used to build and manage static libraries.
  • A. ARE
    ARE is a professional licensure examination for architects in the United States that assesses candidates’ knowledge and skills required for independent practice.
  • B. ARE
    ARE is the ICAO airline designator assigned to LATAM Airlines Colombia, a major Colombian carrier within the LATAM Airlines Group.
  • C. AR
    AR is the commonly used abbreviation for the Assam Rifles, a paramilitary force of India responsible for security and counterinsurgency operations in the Northeast region.
  • D. AR
    AR is the standard abbreviation for the Romanian Academy, the leading national institution for the promotion of science, culture, and the arts in Romania.
  • E. AR
    AR is the two-letter IATA airline designator assigned to Aerolíneas Argentinas, the flag carrier of Argentina.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abddd107ac81908eb1a6946834eee3 completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc65ebe788190859012e930918b05 completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc6c6c620819098b76db174a6f98e completed March 10, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69afc72b2e3c8190aad78ac8924f07af completed March 10, 2026, 7:24 a.m.
Created at: March 6, 2026, 9:58 p.m.