Triple
T20785995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remembrance Day (Dodenherdenking) |
E511638
|
entity |
| Predicate | twoMinutesOfSilenceDuration |
P51781
|
FINISHED |
| Object | 2 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: 2 minutes | Statement: [Remembrance Day (Dodenherdenking), twoMinutesOfSilenceDuration, 2 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: twoMinutesOfSilenceDuration Context triple: [Remembrance Day (Dodenherdenking), twoMinutesOfSilenceDuration, 2 minutes]
-
A.
lengthInMinutes
chosen
Indicates the duration of something expressed as a number of minutes.
-
B.
eraDuration
Indicates the length of time that a particular era or period spans.
-
C.
ceasefireDuration
Indicates the length of time for which a ceasefire agreement between parties is intended to remain in effect.
-
D.
lengthInSeconds
Indicates that one entity specifies the duration of another entity measured in seconds.
-
E.
interruptionDuration
Indicates the length of time for which an ongoing activity, process, or state is temporarily halted or disrupted.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28c0d0c8190aa48e6fdfdaab750 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0550ec481908a0877fb2409d983 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:38 p.m.