Triple
T26564461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Jannus |
E666337
|
entity |
| Predicate | airlineForFirstScheduledCommercialFlight |
P43656
|
FINISHED |
| Object | St. Petersburg–Tampa Airboat Line |
—
|
NE NERFINISHED |
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: St. Petersburg–Tampa Airboat Line | Statement: [Tony Jannus, airlineForFirstScheduledCommercialFlight, St. Petersburg–Tampa Airboat Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineForFirstScheduledCommercialFlight Context triple: [Tony Jannus, airlineForFirstScheduledCommercialFlight, St. Petersburg–Tampa Airboat Line]
-
A.
firstCommercialFlightDate
Indicates the calendar date on which an entity’s first commercial flight or revenue-earning air service took place.
-
B.
firstCommercialFlight
chosen
Indicates that the subject entity operated or was involved in the earliest commercial flight associated with the object entity (such as a route, aircraft type, or service).
-
C.
aircraftUsedForFirstScheduledCommercialFlight
Indicates that an aircraft was the one used to operate the first scheduled commercial flight for a given airline, route, or service.
-
D.
firstWinningFlightDate
Indicates the date on which the first successful or winning flight associated with the subject occurred.
-
E.
aircraftFirstCommercialOperator
Indicates the organization or entity that first operated the aircraft in commercial service.
- F. None of above.
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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 1:54 a.m.