Triple
T27208348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elsie Mackay |
E683932
|
entity |
| Predicate | flightDestinationPlanned |
P35234
|
FINISHED |
| Object | New York City |
—
|
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: New York City | Statement: [Elsie Mackay, flightDestinationPlanned, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flightDestinationPlanned Context triple: [Elsie Mackay, flightDestinationPlanned, New York City]
-
A.
destinationOfFlight
Indicates the location or place to which a given flight is traveling or scheduled to arrive.
-
B.
plannedToConnectCity
Indicates that an entity had the intention or made arrangements to establish a connection or link between cities.
-
C.
destinationCity
chosen
Indicates the city to which an entity is traveling, being sent, or ultimately directed.
-
D.
destinationAirportCity2
Indicates the city of the airport that serves as the second (or alternative) destination in a travel or flight-related context.
-
E.
lastFlightPlannedLandingSite
Indicates the location where the most recent flight is scheduled to land.
- 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_69eefad339a08190aeacb2a198f1a39b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f625e6cd708190aea9dc220df25717 |
completed | May 2, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:38 a.m.