Triple
T4047310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallot Hut |
E84096
|
entity |
| Predicate | typicalUseDuration |
P13716
|
FINISHED |
| Object | few hours or less |
—
|
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: few hours or less | Statement: [Vallot Hut, typicalUseDuration, few hours or less]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUseDuration Context triple: [Vallot Hut, typicalUseDuration, few hours or less]
-
A.
durationOfUse
chosen
Indicates the length of time for which something is used or remains in use.
-
B.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
C.
banDurationApproximate
Indicates that the duration of a ban is known only approximately rather than as an exact, precise time period.
-
D.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
E.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb62593c8190ab8462c4d9cd9d08 |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.