Triple

T6735034
Position Surface form Disambiguated ID Type / Status
Subject Tipton Airport E153732 entity
Predicate IATA code P2569 FINISHED
Object FME
FME is the IATA airport code for Tipton Airport, a public-use airfield located near Fort Meade in Maryland, United States.
 E615194 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: FME | Statement: [Tipton Airport, IATA code, FME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FME
Context triple: [Tipton Airport, IATA code, FME]
  • A. FMEP
    FMEP is the ICAO airport code for Pierrefonds Airport on Réunion Island in the Indian Ocean.
  • B. Ebixa
    Ebixa is a brand-name medication containing memantine, used primarily to treat moderate to severe Alzheimer's disease.
  • C. FMU
    FMU is a public university in Florence, South Carolina, known for its liberal arts and professional programs.
  • D. Sparx
    Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
  • E. FPM
    FPM is the Fellow Programme in Management, a doctoral-level research program in management studies offered by the Indian Institutes of Management.
  • 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: FME
Triple: [Tipton Airport, IATA code, FME]
Generated description
FME is the IATA airport code for Tipton Airport, a public-use airfield located near Fort Meade in Maryland, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FME
Target entity description: FME is the IATA airport code for Tipton Airport, a public-use airfield located near Fort Meade in Maryland, United States.
  • A. FMEP
    FMEP is the ICAO airport code for Pierrefonds Airport on Réunion Island in the Indian Ocean.
  • B. Ebixa
    Ebixa is a brand-name medication containing memantine, used primarily to treat moderate to severe Alzheimer's disease.
  • C. FMU
    FMU is a public university in Florence, South Carolina, known for its liberal arts and professional programs.
  • D. Sparx
    Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
  • E. FPM
    FPM is the Fellow Programme in Management, a doctoral-level research program in management studies offered by the Indian Institutes of Management.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16ecbe08190b019d547f631a725 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0703288190906cfcaba9d9c85a completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70bffe7b48190bbe217bc9fbb08ab completed March 27, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69c70c84de7081908d86c6f710410443 completed March 27, 2026, 11:02 p.m.
Created at: March 27, 2026, 2:09 p.m.