Triple
T36148676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Days Marches Foundation |
E1045522
|
entity |
| Predicate | mainEventDuration |
P84227
|
FINISHED |
| Object | four days |
—
|
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: four days | Statement: [Four Days Marches Foundation, mainEventDuration, four days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainEventDuration Context triple: [Four Days Marches Foundation, mainEventDuration, four days]
-
A.
mainEventTime
Indicates the specific time at which the primary or central event occurs.
-
B.
commonDuration
Indicates that two or more events, actions, or states share the same length of time.
-
C.
mainEventDate
Indicates the primary or most significant date on which the referenced event occurs or is scheduled to occur.
-
D.
durationOfFestivalContext
chosen
Indicates the length of time for which a festival takes place within a given contextual setting or event instance.
-
E.
timeBetweenMainEvents
Indicates the duration or interval separating two primary or key events in a sequence or process.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.