Triple
T16253229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruguayan Air Force Flight 571 disaster |
E394563
|
entity |
| Predicate | trekForHelpDurationDays |
P106942
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Uruguayan Air Force Flight 571 disaster, trekForHelpDurationDays, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trekForHelpDurationDays Context triple: [Uruguayan Air Force Flight 571 disaster, trekForHelpDurationDays, 10]
-
A.
trekDurationApprox
chosen
Indicates an approximate length of time that the trek is expected to take.
-
B.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
C.
dayOfTrek
Indicates the specific day or stage within a multi-day trek on which an event, action, or condition occurs.
-
D.
typicalSupportDuration
Indicates the usual length of time that support or assistance is expected to be provided in this context.
-
E.
recoveryDuration
Indicates the length of time required for an entity to return to a normal or functional state after an event, condition, or disruption.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24598c9488190a92df7d8b1824724 |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219ee6f6481909663b388dc99770a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.