Triple
T2917793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frecce Tricolori |
E78647
|
entity |
| Predicate | typicalShowDuration |
P21649
|
FINISHED |
| Object | about 25 minutes |
—
|
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: about 25 minutes | Statement: [Frecce Tricolori, typicalShowDuration, about 25 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalShowDuration Context triple: [Frecce Tricolori, typicalShowDuration, about 25 minutes]
-
A.
showDuration
chosen
Indicates the length of time for which something is shown, displayed, or performed.
-
B.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
-
C.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
D.
longRunningShow
Indicates that a show has been running for an extended period of time, typically across many episodes or seasons.
-
E.
hasEpisodeLengthType
Indicates the type or category of duration associated with an episode (e.g., standard length, short, extended).
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9603ddd88190b8bf91bc7517cc21 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:54 p.m.