Triple

T778295
Position Surface form Disambiguated ID Type / Status
Subject La Florida Airport E16438 entity
Predicate ICAOcode P419 FINISHED
Object SCSE
SCSE is the ICAO airport code assigned to La Florida Airport in Chile.
 E91965 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: SCSE | Statement: [La Florida Airport, ICAOcode, SCSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCSE
Context triple: [La Florida Airport, ICAOcode, SCSE]
  • A. SCS
    SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
  • B. SEAS
    SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
  • C. CSC
    CSC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
  • D. CSME
    CSME is the economic integration initiative of CARICOM that aims to create a single market and economy among its member states, allowing for the free movement of goods, services, capital, and people.
  • E. CESA
    CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
  • 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: SCSE
Triple: [La Florida Airport, ICAOcode, SCSE]
Generated description
SCSE is the ICAO airport code assigned to La Florida Airport in Chile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCSE
Target entity description: SCSE is the ICAO airport code assigned to La Florida Airport in Chile.
  • A. SCS
    SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
  • B. SEAS
    SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
  • C. CSC
    CSC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
  • D. CSME
    CSME is the economic integration initiative of CARICOM that aims to create a single market and economy among its member states, allowing for the free movement of goods, services, capital, and people.
  • E. CESA
    CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a74f886081909c27b786e3adbe32 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d9dd9b48190ba7fae75db01c114 completed March 3, 2026, 5:11 a.m.
NEDg Description generation batch_69a66f03f1e88190a2a7cdbe57f57bc2 completed March 3, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69a66fa5123c819085ee7cef0c7013c9 completed March 3, 2026, 5:20 a.m.
Created at: March 1, 2026, 7:37 p.m.