Triple

T8528828
Position Surface form Disambiguated ID Type / Status
Subject Saufley Field E201889 entity
Predicate IATAcode P418 FINISHED
Object NUN
NUN is the IATA airport code for Saufley Field, a military airfield near Pensacola, Florida.
 E741648 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: NUN | Statement: [Saufley Field, IATAcode, NUN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NUN
Context triple: [Saufley Field, IATAcode, NUN]
  • A. Nun
    Nun is the primordial watery chaos in ancient Egyptian mythology, representing the formless abyss from which creation first emerged.
  • B. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • C. NUE
    NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
  • D. NU
    NU is the vehicle registration code used on license plates for the district of Neu-Ulm in Bavaria, Germany.
  • E. NU
    NU is a leading Japanese national research university located in Nagoya, known for its strong programs in science, engineering, and the humanities.
  • 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: NUN
Triple: [Saufley Field, IATAcode, NUN]
Generated description
NUN is the IATA airport code for Saufley Field, a military airfield near Pensacola, Florida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NUN
Target entity description: NUN is the IATA airport code for Saufley Field, a military airfield near Pensacola, Florida.
  • A. Nun
    Nun is the primordial watery chaos in ancient Egyptian mythology, representing the formless abyss from which creation first emerged.
  • B. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • C. NUE
    NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
  • D. NU
    NU is the official two-letter Canada Post abbreviation for the northern Canadian territory of Nunavut.
  • E. NU
    NU is the vehicle registration code used on license plates for the district of Neu-Ulm in Bavaria, Germany.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe672e0588190a84328e1bf974f08 completed March 31, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d5e5b58819095c1c915dfe27b52 completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ec1e74081908fc235ffd13ef301 completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fe13a00819095f5bec408435426 completed April 2, 2026, 1:32 p.m.
Created at: March 30, 2026, 6:17 p.m.