Triple

T12134766
Position Surface form Disambiguated ID Type / Status
Subject Cape Canaveral Space Force Station E289023 entity
Predicate hasIATAcode P2569 FINISHED
Object XMR
XMR is the IATA airport code assigned to the airfield serving Cape Canaveral Space Force Station in Florida, United States.
E966708 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: XMR | Statement: [Cape Canaveral Space Force Station, hasIATAcode, XMR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XMR
Context triple: [Cape Canaveral Space Force Station, hasIATAcode, XMR]
  • A. XCH
    XCH is the IATA airport code for Christmas Island’s main international airport in the Indian Ocean.
  • B. Zcash
    Zcash is a privacy-focused cryptocurrency that uses zero-knowledge proofs to enable shielded, confidential transactions on a public blockchain.
  • C. Minecoins
    Minecoins are Minecraft’s official premium in-game currency used to purchase skins, texture packs, worlds, and other content from the Minecraft Marketplace.
  • D. Teku
    Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
  • E. Bit-Zamani
    Bit-Zamani was an ancient Aramean kingdom in northern Mesopotamia, known from early first-millennium BCE Assyrian sources.
  • 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: XMR
Triple: [Cape Canaveral Space Force Station, hasIATAcode, XMR]
Generated description
XMR is the IATA airport code assigned to the airfield serving Cape Canaveral Space Force Station in Florida, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: XMR
Target entity description: XMR is the IATA airport code assigned to the airfield serving Cape Canaveral Space Force Station in Florida, United States.
  • A. XCH
    XCH is the IATA airport code for Christmas Island’s main international airport in the Indian Ocean.
  • B. Zcash
    Zcash is a privacy-focused cryptocurrency that uses zero-knowledge proofs to enable shielded, confidential transactions on a public blockchain.
  • C. Minecoins
    Minecoins are Minecraft’s official premium in-game currency used to purchase skins, texture packs, worlds, and other content from the Minecraft Marketplace.
  • D. Teku
    Teku is an open-source Ethereum consensus client written in Java, designed to run Ethereum proof-of-stake validators in a secure and enterprise-friendly way.
  • E. Bit-Zamani
    Bit-Zamani was an ancient Aramean kingdom in northern Mesopotamia, known from early first-millennium BCE Assyrian sources.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158c59e0819094d4522a107482b2 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68eab98819086a480a90312c3fe completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6017f89d88190b766af7828794d87 completed May 2, 2026, 1:51 p.m.
NED2 Entity disambiguation (via description) batch_69f6023470248190ae9a96d140b28ac1 completed May 2, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:49 p.m.