Triple
T1326439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tampa International Airport |
E28338
|
entity |
| Predicate | hasTerminal |
P182
|
FINISHED |
| Object |
Airside F
Airside F is one of the passenger concourses at Tampa International Airport, serving various domestic and potentially international flights with multiple gates and amenities.
|
E151988
|
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: Airside F | Statement: [Tampa International Airport, hasTerminal, Airside F]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Airside F Context triple: [Tampa International Airport, hasTerminal, Airside F]
-
A.
F-1
The F-1 was a powerful American liquid-fueled rocket engine used on the Saturn V launch vehicle to propel Apollo missions toward the Moon.
-
B.
FAR
FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
-
C.
Flughafen
Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
-
D.
Runway 4
Runway 4 is one end of a bidirectional airport runway, typically aligned toward a magnetic heading of approximately 040 degrees.
-
E.
AFSC
AFSC is a Quaker-founded social justice organization known for its peace, humanitarian, and advocacy work in the United States and internationally.
- 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: Airside F Triple: [Tampa International Airport, hasTerminal, Airside F]
Generated description
Airside F is one of the passenger concourses at Tampa International Airport, serving various domestic and potentially international flights with multiple gates and amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Airside F Target entity description: Airside F is one of the passenger concourses at Tampa International Airport, serving various domestic and potentially international flights with multiple gates and amenities.
-
A.
F-1
The F-1 was a powerful American liquid-fueled rocket engine used on the Saturn V launch vehicle to propel Apollo missions toward the Moon.
-
B.
FAR
FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
-
C.
Flughafen
Flughafen is the Nuremberg U-Bahn station that serves Nuremberg Airport, providing direct metro access between the airport and the city.
-
D.
Runway 4
Runway 4 is one end of a bidirectional airport runway, typically aligned toward a magnetic heading of approximately 040 degrees.
-
E.
AFSC
AFSC is a Quaker-founded social justice organization known for its peace, humanitarian, and advocacy work in the United States and internationally.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c0a22881909eff0fc6c91a5f41 |
completed | March 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf3038148190bd945f67e1a619ca |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbf958b308190874369550420f827 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc0c32180819082af905fd56c4b27 |
completed | March 8, 2026, 12:20 a.m. |
Created at: March 1, 2026, 7:55 p.m.