Triple

T16954922
Position Surface form Disambiguated ID Type / Status
Subject Tennant Creek Airport E411273 entity
Predicate hasNavigationAid P8170 FINISHED
Object NDB TCA
NDB TCA is a non-directional radio beacon used by aircraft for navigation in the vicinity of Tennant Creek Airport in Australia.
 E1243105 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: NDB TCA | Statement: [Tennant Creek Airport, hasNavigationAid, NDB TCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NDB TCA
Context triple: [Tennant Creek Airport, hasNavigationAid, NDB TCA]
  • A. NDB CAM
    NDB CAM is a non-directional radio beacon used by pilots for navigation in the vicinity of Cambridge Airport in the United Kingdom.
  • B. NDB
    NDB is a multilateral development bank established by the BRICS countries to finance infrastructure and sustainable development projects in emerging economies.
  • C. TCA
    TCA is the commonly used abbreviation for the Technical Cooperation Administration, a former U.S. government agency responsible for administering foreign aid and technical assistance programs.
  • D. TCA
    TCA is a prominent multidisciplinary arts and performance venue located in Tempe, Arizona.
  • E. TCA
    TCA is the commonly used abbreviation for the Family Smoking Prevention and Tobacco Control Act of 2009, a U.S. law granting the FDA authority to regulate tobacco products.
  • 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: NDB TCA
Triple: [Tennant Creek Airport, hasNavigationAid, NDB TCA]
Generated description
NDB TCA is a non-directional radio beacon used by aircraft for navigation in the vicinity of Tennant Creek Airport in Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NDB TCA
Target entity description: NDB TCA is a non-directional radio beacon used by aircraft for navigation in the vicinity of Tennant Creek Airport in Australia.
  • A. NDB CAM
    NDB CAM is a non-directional radio beacon used by pilots for navigation in the vicinity of Cambridge Airport in the United Kingdom.
  • B. NDB
    NDB is a multilateral development bank established by the BRICS countries to finance infrastructure and sustainable development projects in emerging economies.
  • C. TCA
    TCA is the commonly used abbreviation for the Technical Cooperation Administration, a former U.S. government agency responsible for administering foreign aid and technical assistance programs.
  • D. TCA
    TCA is a prominent multidisciplinary arts and performance venue located in Tempe, Arizona.
  • E. TCA
    TCA is the commonly used abbreviation for the Family Smoking Prevention and Tobacco Control Act of 2009, a U.S. law granting the FDA authority to regulate tobacco products.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01bb700819082a441c124be3cb6 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d464762c8190a734ffdd83633f70 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d53422408190ba91624194333c13 completed May 10, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_6a00d5adee908190a13bfc765e7c8f06 completed May 10, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:31 a.m.