Triple

T1710739
Position Surface form Disambiguated ID Type / Status
Subject Albany, Georgia E36976 entity
Predicate airportIATACode P418 FINISHED
Object ABY
ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
 E193661 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: ABY | Statement: [Albany, Georgia, airportIATACode, ABY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ABY
Context triple: [Albany, Georgia, airportIATACode, ABY]
  • A. ABJ
    ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
  • B. AB
    AB is the official two-letter Canada Post abbreviation used to designate the province of Alberta in mailing addresses.
  • C. ABW
    ABW is the three-letter ISO 3166-1 alpha-3 country code assigned to Aruba.
  • D. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • E. ABAC
    ABAC is the APEC Business Advisory Council, a high-level group of business leaders that provides private-sector advice and recommendations to APEC economic leaders on regional economic integration and trade issues.
  • 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: ABY
Triple: [Albany, Georgia, airportIATACode, ABY]
Generated description
ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ABY
Target entity description: ABY is the IATA airport code for Southwest Georgia Regional Airport serving Albany, Georgia.
  • A. ABJ
    ABJ is the vehicle registration code used for motor vehicles registered in Abuja, the capital city of Nigeria.
  • B. AB
    AB is the official two-letter Canada Post abbreviation used to designate the province of Alberta in mailing addresses.
  • C. ABW
    ABW is the three-letter ISO 3166-1 alpha-3 country code assigned to Aruba.
  • D. ABL
    ABL is the commonly used abbreviation for the Academia Brasileira de Letras, Brazil’s foremost literary and language academy.
  • E. ABAC
    ABAC is the APEC Business Advisory Council, a high-level group of business leaders that provides private-sector advice and recommendations to APEC economic leaders on regional economic integration and trade issues.
  • 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_69a88617439c819094ffb5d16a0f6307 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63149288819082e7055d0d292d1d completed March 6, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8addf4a48190b19cdb861db5eecd completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad957912808190be5b6ed8d3f20535 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97accca48190bc43e94337589a5f completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.