Triple

T700582
Position Surface form Disambiguated ID Type / Status
Subject Diccionario de la lengua española E13988 entity
Predicate shortName P43 FINISHED
Object DLE
DLE is the commonly used abbreviation for the "Diccionario de la lengua española," the authoritative Spanish language dictionary published by the Royal Spanish Academy.
 E85777 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: DLE | Statement: [Diccionario de la lengua española, shortName, DLE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DLE
Context triple: [Diccionario de la lengua española, shortName, DLE]
  • A. DEL2
    DEL2 is Germany’s second-tier professional ice hockey league, sitting directly below the top-level DEL.
  • B. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • C. DHE
    DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
  • D. DELTA
    DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
  • E. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • 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: DLE
Triple: [Diccionario de la lengua española, shortName, DLE]
Generated description
DLE is the commonly used abbreviation for the "Diccionario de la lengua española," the authoritative Spanish language dictionary published by the Royal Spanish Academy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DLE
Target entity description: DLE is the commonly used abbreviation for the "Diccionario de la lengua española," the authoritative Spanish language dictionary published by the Royal Spanish Academy.
  • A. DEL2
    DEL2 is Germany’s second-tier professional ice hockey league, sitting directly below the top-level DEL.
  • B. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • C. DHE
    DHE is the Massachusetts state agency responsible for coordinating and overseeing public higher education institutions and policies.
  • D. DELTA
    DELTA is the radio callsign used by pilots and air traffic control to identify and communicate with Delta Air Lines flights.
  • E. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a52fdb888190ad0e48fb3cf4dc3d completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcac4e9c8190bb6903916a6624a8 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5dfa4a07c8190ac4f477e324b46ff completed March 2, 2026, 7:06 p.m.
NED2 Entity disambiguation (via description) batch_69a607857b648190a37bf535428e2afd completed March 2, 2026, 9:56 p.m.
Created at: March 1, 2026, 7:36 p.m.