Triple

T4065329
Position Surface form Disambiguated ID Type / Status
Subject Ariane launch vehicle programme E86309 entity
Predicate launchSite P4384 FINISHED
Object ELA-3 E290054 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: ELA-3 | Statement: [Ariane launch vehicle programme, launchSite, ELA-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ELA-3
Context triple: [Ariane launch vehicle programme, launchSite, ELA-3]
  • A. ELA-3 chosen
    ELA-3 is a launch complex at the Guiana Space Centre in French Guiana used primarily for Ariane 5 rocket missions.
  • B. ELA-1
    ELA-1 is a launch complex at the Guiana Space Centre in French Guiana, used for orbiting satellites with the European Vega small-lift launch vehicle.
  • C. ELP
    ELP is the three-letter IATA airport code for El Paso International Airport, a commercial airport serving El Paso, Texas.
  • D. ELPA
    ELPA (Emacs Lisp Package Archive) is a primary repository and distribution system for Emacs Lisp packages used to extend and customize the Emacs editor.
  • E. English Language Arts
    English Language Arts is an academic subject area focused on developing students’ skills in reading, writing, speaking, listening, and language analysis in English.
  • 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbf44c888190b5746d93e9f8e3a3 completed March 9, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562b17c888190ac4771f2bb4f0d58 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.