Triple

T11133637
Position Surface form Disambiguated ID Type / Status
Subject Chacalluta International Airport E263351 entity
Predicate ICAOcode P419 FINISHED
Object SCAR
SCAR is the ICAO airport code for Chacalluta International Airport, which serves the city of Arica in northern Chile.
 E907887 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: SCAR | Statement: [Chacalluta International Airport, ICAOcode, SCAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCAR
Context triple: [Chacalluta International Airport, ICAOcode, SCAR]
  • A. SCAR
    SCAR is an international scientific body that coordinates and promotes research in and about Antarctica and the Southern Ocean.
  • B. SC4
    SC4 is the commonly used abbreviation for St. Clair County Community College, a public community college located in Port Huron, Michigan.
  • C. SCAP
    SCAP was the title held by General Douglas MacArthur as the top Allied authority overseeing the occupation and reconstruction of Japan after World War II.
  • D. SCS
    SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
  • E. SC6
    SC6 is a rebranded, personality-driven edition of ESPN’s SportsCenter that was hosted by Michael Smith and Jemele Hill in the 6 p.m. time slot.
  • 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: SCAR
Triple: [Chacalluta International Airport, ICAOcode, SCAR]
Generated description
SCAR is the ICAO airport code for Chacalluta International Airport, which serves the city of Arica in northern Chile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCAR
Target entity description: SCAR is the ICAO airport code for Chacalluta International Airport, which serves the city of Arica in northern Chile.
  • A. SCAR
    SCAR is an international scientific body that coordinates and promotes research in and about Antarctica and the Southern Ocean.
  • B. SC4
    SC4 is the commonly used abbreviation for St. Clair County Community College, a public community college located in Port Huron, Michigan.
  • C. SCAP
    SCAP was the title held by General Douglas MacArthur as the top Allied authority overseeing the occupation and reconstruction of Japan after World War II.
  • D. SCS
    SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
  • E. SC6
    SC6 is a rebranded, personality-driven edition of ESPN’s SportsCenter that was hosted by Michael Smith and Jemele Hill in the 6 p.m. time slot.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8347a248190837e8c26f25f553a completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441f00d7c8190a8fe8e0c1169e6b0 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.