Triple

T12934510
Position Surface form Disambiguated ID Type / Status
Subject Network Aviation E309471 entity
Predicate callsign P1565 FINISHED
Object NETWORK
NETWORK is the radio callsign used by Network Aviation, an Australian regional airline operating charter and scheduled services.
E1010494 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: NETWORK | Statement: [Network Aviation, callsign, NETWORK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NETWORK
Context triple: [Network Aviation, callsign, NETWORK]
  • A. Network
    Network is a 1976 satirical drama film directed by Sidney Lumet that critiques television news and media sensationalism.
  • B. NET
    NET is the stock ticker symbol for Cloudflare, Inc., a company that provides cloud-based web infrastructure and security services.
  • C. NET
    NET is a standardized national-level examination in India used to determine eligibility for college and university lectureship and for the award of junior research fellowships.
  • D. NET
    NET is a long-distance hiking trail in southern New England that traverses scenic ridgelines, forests, and rural landscapes in Connecticut and Massachusetts.
  • E. NET
    NET was a U.S. public television network that served as the primary national distributor of educational and cultural programming before being succeeded by PBS.
  • 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: NETWORK
Triple: [Network Aviation, callsign, NETWORK]
Generated description
NETWORK is the radio callsign used by Network Aviation, an Australian regional airline operating charter and scheduled services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NETWORK
Target entity description: NETWORK is the radio callsign used by Network Aviation, an Australian regional airline operating charter and scheduled services.
  • A. Network
    Network is a 1976 satirical drama film directed by Sidney Lumet that critiques television news and media sensationalism.
  • B. NET
    NET is the stock ticker symbol for Cloudflare, Inc., a company that provides cloud-based web infrastructure and security services.
  • C. NET
    NET is a standardized national-level examination in India used to determine eligibility for college and university lectureship and for the award of junior research fellowships.
  • D. NET
    NET is a long-distance hiking trail in southern New England that traverses scenic ridgelines, forests, and rural landscapes in Connecticut and Massachusetts.
  • E. NET
    NET is the NCAA’s primary ranking system used to evaluate and seed college basketball teams for postseason tournaments.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc6517481908637781da240b51f completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6d16388190abc848ac67bf1fb9 completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b08df448819080c0a7b0921bcc9f completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b11ced30819090f67a0b1e1369aa completed May 3, 2026, 2:21 a.m.
Created at: April 9, 2026, 5:42 p.m.