Triple

T11287557
Position Surface form Disambiguated ID Type / Status
Subject Juan Mendoza Airport E267237 entity
Predicate ICAO code P419 FINISHED
Object SLOR
SLOR is the ICAO airport code assigned to Juan Mendoza Airport in Bolivia.
E916502 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: SLOR | Statement: [Juan Mendoza Airport, ICAO code, SLOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SLOR
Context triple: [Juan Mendoza Airport, ICAO code, SLOR]
  • A. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • B. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • C. SL
    SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
  • D. SL
    SL is the two-letter ISO country code for Sierra Leone, a West African nation on the Atlantic coast.
  • E. SL
    SL is the post-nominal abbreviation used in Finland to denote a person who has been awarded a decoration of the Order of the Lion of Finland.
  • 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: SLOR
Triple: [Juan Mendoza Airport, ICAO code, SLOR]
Generated description
SLOR is the ICAO airport code assigned to Juan Mendoza Airport in Bolivia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SLOR
Target entity description: SLOR is the ICAO airport code assigned to Juan Mendoza Airport in Bolivia.
  • A. SL
    SL is a German vehicle registration code used on license plates to identify cars registered in the Saalekreis district of Saxony-Anhalt.
  • B. SL
    SL is the two-letter ISO country code for Sierra Leone, a West African nation on the Atlantic coast.
  • C. SL
    SL is the common abbreviation used for the Salt Lake Bees, a Minor League Baseball team based in Salt Lake City, Utah.
  • D. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • E. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e986b0f08190a414749eaa7f1a5d completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f48e190c8190b46d4286e2acaef1 completed April 19, 2026, 3:28 p.m.
NEDg Description generation batch_69e4ff1e17e88190af1dd4b8bd8e5ca6 completed April 19, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69e500f5cfe481909c8e6dfd530084bc completed April 19, 2026, 4:21 p.m.
Created at: April 8, 2026, 9:32 p.m.