Triple
T12752969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orlando Miracle |
E304780
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ORL |
E88981
|
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 Miracle, abbreviation, ORL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORL Context triple: [Orlando Miracle, abbreviation, ORL]
-
A.
ORL
chosen
ORL is the standard three-letter abbreviation used for the NBA team Orlando Magic.
-
B.
ORL
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.
Ornea
Ornea is a minor figure in Greek mythology known primarily as one of the many children of the river god Asopus.
-
E.
Cheek
Cheek is a surname of English origin borne by various notable individuals across fields such as politics, academia, and the arts.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd9555081908b0d027bc332b468 |
completed | April 10, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c98816881909dacdd4f0e2b89c4 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:27 p.m.