Triple
T15933504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Air Balloon Festival (Pampanga) |
E386380
|
entity |
| Predicate | typicalTimeOfDayForFlights |
P6833
|
FINISHED |
| Object | early morning |
—
|
LITERAL 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: early morning | Statement: [Hot Air Balloon Festival (Pampanga), typicalTimeOfDayForFlights, early morning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTimeOfDayForFlights Context triple: [Hot Air Balloon Festival (Pampanga), typicalTimeOfDayForFlights, early morning]
-
A.
landingTimeOfDay
Indicates the time of day at which a landing event occurs.
-
B.
typicalTimes
chosen
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
-
C.
bestTimeOfDayToVisit
Indicates the time of day during which visiting something is considered most optimal or desirable.
-
D.
typicalDestinationAirportIATA
Indicates the IATA airport code that is typically the destination in this kind of trip or route.
-
E.
flightPeriod
Indicates the time span during which a flight occurs or is scheduled to operate.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.