Triple
T31515068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AEA Silver Dart |
E804050
|
entity |
| Predicate | locationOfFirstPublicFlight |
P108377
|
FINISHED |
| Object | Baddeck, Nova Scotia, Canada |
E231267
|
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: Baddeck, Nova Scotia, Canada | Statement: [AEA Silver Dart, locationOfFirstPublicFlight, Baddeck, Nova Scotia, Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfFirstPublicFlight Context triple: [AEA Silver Dart, locationOfFirstPublicFlight, Baddeck, Nova Scotia, Canada]
-
A.
placeOfFirstPoweredFlight
chosen
Indicates the location where an entity achieved its first successful powered flight.
-
B.
firstCommercialFlight
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.
firstFlightFrom
Indicates that one entity is the earliest (chronologically first) flight departing from a given origin or on a given route among a set of flights.
-
D.
firstCommercialFlightDate
Indicates the calendar date on which an entity’s first commercial flight or revenue-earning air service took place.
-
E.
yearOfFirstScheduledCommercialFlight
Indicates the calendar year in which the entity’s first scheduled commercial flight took place.
- F. None of above.
Provenance (4 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_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a01a0b63d148190b10206509c0a0a5b |
completed | May 11, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b147b5fc0819096ba354601105eed |
completed | June 11, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_6a01a0245d4c8190a3c3fbbe83f0389d |
completed | May 11, 2026, 9:23 a.m. |
Created at: April 30, 2026, 9:52 p.m.