Triple

T12340797
Position Surface form Disambiguated ID Type / Status
Subject Keystone Heights Airport E294217 entity
Predicate FAAIdentifier P420 FINISHED
Object 42J
42J is the FAA location identifier for Keystone Heights Airport in Florida, United States.
E977935 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: 42J | Statement: [Keystone Heights Airport, FAAIdentifier, 42J]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 42J
Context triple: [Keystone Heights Airport, FAAIdentifier, 42J]
  • A. 5J
    5J is the IATA airline designator used by Cebu Pacific, a major low-cost carrier based in the Philippines.
  • B. 42 Cdo
    42 Cdo is an elite battalion-sized commando unit of the British Royal Marines known for amphibious and expeditionary warfare operations.
  • C. J120
    J120 is the fourth-generation Toyota Land Cruiser Prado series, a mid-size SUV platform produced in the early 2000s known for its off-road capability and global popularity.
  • D. J40
    The J40 is a classic generation of the Toyota Land Cruiser renowned for its rugged off-road capability and iconic, boxy design.
  • E. JY22
    JY22 is the station number assigned to Meguro Station on JR East’s Yamanote Line in Tokyo.
  • 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: 42J
Triple: [Keystone Heights Airport, FAAIdentifier, 42J]
Generated description
42J is the FAA location identifier for Keystone Heights Airport in Florida, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 42J
Target entity description: 42J is the FAA location identifier for Keystone Heights Airport in Florida, United States.
  • A. 5J
    5J is the IATA airline designator used by Cebu Pacific, a major low-cost carrier based in the Philippines.
  • B. 42 Cdo
    42 Cdo is an elite battalion-sized commando unit of the British Royal Marines known for amphibious and expeditionary warfare operations.
  • C. J120
    J120 is the fourth-generation Toyota Land Cruiser Prado series, a mid-size SUV platform produced in the early 2000s known for its off-road capability and global popularity.
  • D. J40
    The J40 is a classic generation of the Toyota Land Cruiser renowned for its rugged off-road capability and iconic, boxy design.
  • E. JY22
    JY22 is the station number assigned to Meguro Station on JR East’s Yamanote Line in Tokyo.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7758dc8190bbc6a9ad00b01dce completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aaa1d548190be065412aab70385 completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c55aacc8190a0544306825bdfab completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d4d0b8881908aa6b67db7d14609 completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:53 p.m.