Triple

T11239763
Position Surface form Disambiguated ID Type / Status
Subject El Trompillo Airport E266039 entity
Predicate ICAO code P419 FINISHED
Object SLET
SLET is the ICAO airport code for El Trompillo Airport in Santa Cruz de la Sierra, Bolivia.
 E913362 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: SLET | Statement: [El Trompillo Airport, ICAO code, SLET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SLET
Context triple: [El Trompillo Airport, ICAO code, SLET]
  • A. SLC
    SLC is the three-letter IATA airport code for Salt Lake City International Airport, a major air travel hub serving Salt Lake City, Utah.
  • B. SLC
    SLC is an abbreviation commonly used for the Student Learning Centre, a dedicated space or service that supports students’ academic success and skill development.
  • C. SLC
    SLC is a former high-energy electron–positron linear collider at the SLAC National Accelerator Laboratory that was used for precision studies of the Z boson and electroweak interactions.
  • D. SLC
    SLC is a collegiate athletic conference in the NCAA Division I primarily comprising universities from the South Central United States.
  • E. SLC
    SLC is the commonly used abbreviation for the UK government-owned Student Loans Company, which administers student loans and grants for higher and further education.
  • 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: SLET
Triple: [El Trompillo Airport, ICAO code, SLET]
Generated description
SLET is the ICAO airport code for El Trompillo Airport in Santa Cruz de la Sierra, Bolivia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SLET
Target entity description: SLET is the ICAO airport code for El Trompillo Airport in Santa Cruz de la Sierra, Bolivia.
  • A. SLC
    SLC is the three-letter IATA airport code for Salt Lake City International Airport, a major air travel hub serving Salt Lake City, Utah.
  • B. SLC
    SLC is an abbreviation commonly used for the Student Learning Centre, a dedicated space or service that supports students’ academic success and skill development.
  • C. SLC
    SLC is a former high-energy electron–positron linear collider at the SLAC National Accelerator Laboratory that was used for precision studies of the Z boson and electroweak interactions.
  • D. SLC
    SLC is a collegiate athletic conference in the NCAA Division I primarily comprising universities from the South Central United States.
  • E. SLC
    SLC is the commonly used abbreviation for the UK government-owned Student Loans Company, which administers student loans and grants for higher and further education.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e918375081908c2a7ccb50cbf331 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad6e9390819085d10635cb039f85 completed April 19, 2026, 10:24 a.m.
NEDg Description generation batch_69e4b12eee348190bee6c84587e4955d completed April 19, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_69e4be2bb8c88190a21773b0c43b6b99 completed April 19, 2026, 11:36 a.m.
Created at: April 8, 2026, 9:30 p.m.