Triple

T9800969
Position Surface form Disambiguated ID Type / Status
Subject A4 E237835 entity
Predicate maintainedBy P86 FINISHED
Object SANEF E237834 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: SANEF | Statement: [A4, maintainedBy, SANEF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SANEF
Context triple: [A4, maintainedBy, SANEF]
  • A. SANEF chosen
    SANEF is a major French motorway concession and operating company responsible for managing and maintaining several toll highways in northern and eastern France.
  • B. SAFN
    SAFN is a professional organization dedicated to advancing the anthropological study of food, nutrition, and related cultural practices.
  • C. SDF
    SDF is the acronym for the SAARC Development Fund, a regional financial institution that supports social, economic, and infrastructure development projects among South Asian Association for Regional Cooperation member countries.
  • D. SDF
    SDF is the IATA airport code for Louisville Muhammad Ali International Airport, a major air cargo and passenger hub serving Louisville, Kentucky.
  • E. SDF
    The SDF (Syrian Democratic Forces) is a multi-ethnic, Kurdish-led military alliance in Syria that has been a primary ground force against ISIS and a key armed wing of the Autonomous Administration of North and East Syria.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62a11a88190880e0cce24923b14 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44a652c81908f644e1a5efe3eb1 completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:29 p.m.