Triple

T9622815
Position Surface form Disambiguated ID Type / Status
Subject Northeast Florida Regional Airport E232385 entity
Predicate FAAcode P420 FINISHED
Object SGJ
SGJ is the FAA location identifier for Northeast Florida Regional Airport serving the St. Augustine, Florida area.
 E809832 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: SGJ | Statement: [Northeast Florida Regional Airport, FAAcode, SGJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SGJ
Context triple: [Northeast Florida Regional Airport, FAAcode, SGJ]
  • A. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • B. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • C. SG
    SG is a postcode area in the United Kingdom covering parts of Hertfordshire and surrounding regions.
  • D. SG
    SG is the Secretariat-General of the European Commission, the central administrative body that supports the Commission’s work, coordination, and decision-making processes.
  • E. SG
    SG is the IATA airline designator assigned to SpiceJet, a major low-cost carrier based in India.
  • 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: SGJ
Triple: [Northeast Florida Regional Airport, FAAcode, SGJ]
Generated description
SGJ is the FAA location identifier for Northeast Florida Regional Airport serving the St. Augustine, Florida area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SGJ
Target entity description: SGJ is the FAA location identifier for Northeast Florida Regional Airport serving the St. Augustine, Florida area.
  • A. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • B. SG
    SG is the Secretariat-General of the European Commission, the central administrative body that supports the Commission’s work, coordination, and decision-making processes.
  • C. SG
    SG is the IATA airline designator assigned to SpiceJet, a major low-cost carrier based in India.
  • D. SG
    SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
  • E. SG
    SG is the vehicle registration code used on license plates for Spain’s Segovia Province.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad650a4819096258665bc3f410b completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1797386d88190bc1d9309ecc1b4fb completed April 4, 2026, 8:49 p.m.
NEDg Description generation batch_69d17a0d603881908066d61fff1d2fda completed April 4, 2026, 8:52 p.m.
NED2 Entity disambiguation (via description) batch_69d17a769b608190b49ad82b35cf1b44 completed April 4, 2026, 8:54 p.m.
Created at: March 30, 2026, 8:10 p.m.