Triple
T16268221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orlando Executive Airport |
E394927
|
entity |
| Predicate | FAA location identifier |
P420
|
FINISHED |
| Object | ORL |
E394927
|
NE FINISHED |
How this triple was built (2 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: ORL | Statement: [Orlando Executive Airport, FAA location identifier, ORL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORL Context triple: [Orlando Executive Airport, FAA location identifier, ORL]
-
A.
ORL
ORL is the standard three-letter abbreviation used for the NBA team Orlando Magic.
-
B.
ORL
chosen
ORL is the FAA location identifier for Orlando Executive Airport, a public airport serving general aviation near downtown Orlando, Florida.
-
C.
the Nose
The Nose is the absurd, anthropomorphized facial feature that becomes an independent character in Nikolai Gogol’s satirical short story of the same name.
-
D.
Lefort
Lefort is a surname most notably associated with Franz Lefort, a 17th-century Genevan-born military officer and close advisor to Russian Tsar Peter the Great.
-
E.
Ornea
Ornea is a minor figure in Greek mythology known primarily as one of the many children of the river god Asopus.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245ca5c708190a1e98ab37740c032 |
completed | April 17, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f8eac988190bdcba6778fbffd64 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:05 a.m.