Triple

T9738832
Position Surface form Disambiguated ID Type / Status
Subject Anderson Regional Airport E236133 entity
Predicate FAAcode P420 FINISHED
Object AND
AND is the FAA location identifier for Anderson Regional Airport in Anderson, South Carolina.
 E819582 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: AND | Statement: [Anderson Regional Airport, FAAcode, AND]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AND
Context triple: [Anderson Regional Airport, FAAcode, AND]
  • A. AND
    AND is the three-letter ISO 3166-1 alpha-3 country code assigned to Andorra.
  • B. ANDA
    ANDA stands for Abbreviated New Drug Application, the U.S. FDA regulatory pathway that allows approval of generic drugs by demonstrating bioequivalence to an already approved brand-name product.
  • C. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • D. AN
    AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
  • E. AN
    AN is the former ISO 3166-1 alpha-2 country code assigned to the now-dissolved Caribbean territory of the Netherlands Antilles.
  • 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: AND
Triple: [Anderson Regional Airport, FAAcode, AND]
Generated description
AND is the FAA location identifier for Anderson Regional Airport in Anderson, South Carolina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AND
Target entity description: AND is the FAA location identifier for Anderson Regional Airport in Anderson, South Carolina.
  • A. AND
    AND is the three-letter ISO 3166-1 alpha-3 country code assigned to Andorra.
  • B. ANDA
    ANDA stands for Abbreviated New Drug Application, the U.S. FDA regulatory pathway that allows approval of generic drugs by demonstrating bioequivalence to an already approved brand-name product.
  • C. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • D. AN
    AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
  • E. AN
    AN is the former ISO 3166-1 alpha-2 country code assigned to the now-dissolved Caribbean territory of the Netherlands Antilles.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9ef43fec8190987628f401a27436 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bccbb6988190a3733c97d520be67 completed April 5, 2026, 1:37 a.m.
NEDg Description generation batch_69d1bd5820408190a4f5f7ef8b0e14aa completed April 5, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_69d1bdc0135881909b69814e6cf3741b completed April 5, 2026, 1:41 a.m.
Created at: March 30, 2026, 8:22 p.m.