Triple

T3324967
Position Surface form Disambiguated ID Type / Status
Subject Temora Airport E69891 entity
Predicate IATAcode P418 FINISHED
Object TEM
TEM is the IATA airport code for Temora Airport, a regional airfield serving the town of Temora in New South Wales, Australia.
 E348573 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: TEM | Statement: [Temora Airport, IATAcode, TEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TEM
Context triple: [Temora Airport, IATAcode, TEM]
  • A. AFM
    AFM is the Dutch Authority for the Financial Markets, the national regulator overseeing fair and transparent operation of financial markets in the Netherlands.
  • B. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • C. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • D. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • E. ECT
    ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
  • 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: TEM
Triple: [Temora Airport, IATAcode, TEM]
Generated description
TEM is the IATA airport code for Temora Airport, a regional airfield serving the town of Temora in New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TEM
Target entity description: TEM is the IATA airport code for Temora Airport, a regional airfield serving the town of Temora in New South Wales, Australia.
  • A. AFM
    AFM is the Dutch Authority for the Financial Markets, the national regulator overseeing fair and transparent operation of financial markets in the Netherlands.
  • B. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • C. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • D. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • E. ECT
    ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb16ca13c8190aea8caed8ccd9b88 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7b26248190b9bf159982d7d19e completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31e4ca140819099de4546b0cb14d6 completed March 12, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_69b31ec53b848190b56ca349f53ff447 completed March 12, 2026, 8:15 p.m.
Created at: March 8, 2026, 3:11 p.m.