Triple
T30925436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Charlotte Track |
E787842
|
entity |
| Predicate | typicalDurationInDays |
P7618
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Queen Charlotte Track, typicalDurationInDays, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDurationInDays Context triple: [Queen Charlotte Track, typicalDurationInDays, 3]
-
A.
typicalDurationDays
chosen
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
B.
typicalDurationMinutes
Indicates the usual or expected length of time, measured in minutes, that an event, activity, or process typically lasts.
-
C.
durationDaysApprox
Indicates an approximate length of time, measured in days, for which an event, state, or condition lasts.
-
D.
typicalUseDays
Indicates the usual or expected number of days over which something is used or intended to be used.
-
E.
typicalDurationInAdults
Indicates the usual length of time this condition, event, or process lasts in adult individuals.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:51 p.m.