Triple

T10835102
Position Surface form Disambiguated ID Type / Status
Subject Copiapó Airport E255732 entity
Predicate hasICAOCode P419 FINISHED
Object SCHA
SCHA is the ICAO airport code for Copiapó Airport, a regional airport serving the city of Copiapó in northern Chile.
 E889199 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: SCHA | Statement: [Copiapó Airport, hasICAOCode, SCHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCHA
Context triple: [Copiapó Airport, hasICAOCode, SCHA]
  • A. SCHA
    SCHA is the stock ticker symbol under which Schibsted, a Nordic media and online marketplace company, is traded on financial markets.
  • B. SCHW
    SCHW is the stock ticker symbol for The Charles Schwab Corporation, a major U.S.-based brokerage and financial services company.
  • C. SCHL
    SCHL is the stock ticker symbol for Scholastic Corporation, a major American publisher of children's books, educational materials, and media.
  • D. SCHB
    SCHB is the commonly used abbreviation for the Division of Small Chemical Businesses, a unit within the American Chemical Society that supports chemists involved in small and entrepreneurial chemical enterprises.
  • E. SCHN
    SCHN is the stock ticker symbol for Schindler Group, a global manufacturer and service provider of elevators, escalators, and moving walkways.
  • 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: SCHA
Triple: [Copiapó Airport, hasICAOCode, SCHA]
Generated description
SCHA is the ICAO airport code for Copiapó Airport, a regional airport serving the city of Copiapó in northern Chile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCHA
Target entity description: SCHA is the ICAO airport code for Copiapó Airport, a regional airport serving the city of Copiapó in northern Chile.
  • A. SCHA
    SCHA is the stock ticker symbol under which Schibsted, a Nordic media and online marketplace company, is traded on financial markets.
  • B. SCHW
    SCHW is the stock ticker symbol for The Charles Schwab Corporation, a major U.S.-based brokerage and financial services company.
  • C. SCHL
    SCHL is the stock ticker symbol for Scholastic Corporation, a major American publisher of children's books, educational materials, and media.
  • D. SCHB
    SCHB is the commonly used abbreviation for the Division of Small Chemical Businesses, a unit within the American Chemical Society that supports chemists involved in small and entrepreneurial chemical enterprises.
  • E. SCHN
    SCHN is the stock ticker symbol for Schindler Group, a global manufacturer and service provider of elevators, escalators, and moving walkways.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d74425447081908fb51c7edf54af67 completed April 9, 2026, 6:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
NEDg Description generation batch_69dec2534728819095b3693120772da9 completed April 14, 2026, 10:40 p.m.
NED2 Entity disambiguation (via description) batch_69dec79b1b548190a74312284f98551c completed April 14, 2026, 11:02 p.m.
Created at: April 8, 2026, 9:19 p.m.