Triple

T11824913
Position Surface form Disambiguated ID Type / Status
Subject TCN-9 Sydney E281233 entity
Predicate callsign P1565 FINISHED
Object TCN
TCN is an Australian television station identifier associated with the Nine Network’s flagship Sydney channel.
 E948505 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: TCN | Statement: [TCN-9 Sydney, callsign, TCN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TCN
Context triple: [TCN-9 Sydney, callsign, TCN]
  • A. ECRIS-TCN
    ECRIS-TCN is a European Union information system that supports the exchange of criminal records of non-EU nationals among member states to improve judicial and law enforcement cooperation.
  • B. CTN
    CTN is the ICAO airline designator used to identify Croatia Airlines in international aviation operations.
  • C. TNCE
    TNCE is the ICAO airport code for F. D. Roosevelt Airport, the main airfield serving the Caribbean island of Sint Eustatius in the Netherlands.
  • D. GRU
    GRU is Russia’s military intelligence agency, known for conducting espionage, cyber operations, and covert activities abroad.
  • E. GRU
    GRU is the IATA airport code for São Paulo–Guarulhos International Airport, the main international gateway serving São Paulo, Brazil.
  • 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: TCN
Triple: [TCN-9 Sydney, callsign, TCN]
Generated description
TCN is an Australian television station identifier associated with the Nine Network’s flagship Sydney channel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TCN
Target entity description: TCN is an Australian television station identifier associated with the Nine Network’s flagship Sydney channel.
  • A. ECRIS-TCN
    ECRIS-TCN is a European Union information system that supports the exchange of criminal records of non-EU nationals among member states to improve judicial and law enforcement cooperation.
  • B. CTN
    CTN is the ICAO airline designator used to identify Croatia Airlines in international aviation operations.
  • C. TNCE
    TNCE is the ICAO airport code for F. D. Roosevelt Airport, the main airfield serving the Caribbean island of Sint Eustatius in the Netherlands.
  • D. GRU
    GRU is Russia’s military intelligence agency, known for conducting espionage, cyber operations, and covert activities abroad.
  • E. GRU
    GRU is the IATA airport code for São Paulo–Guarulhos International Airport, the main international gateway serving São Paulo, Brazil.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5eb299481909de3c0e85628fbe4 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f132062b108190ad33656c386ee603 completed April 28, 2026, 10:17 p.m.
NEDg Description generation batch_69f14e8ada3481908ec456c41827160c completed April 29, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69f1571e4ba08190824db812ffc5f35a completed April 29, 2026, 12:55 a.m.
Created at: April 8, 2026, 9:43 p.m.