Triple
T4524920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1st Battalion, Parachute Regiment |
E103353
|
entity |
| Predicate | dateOfEventParticipation |
P830
|
FINISHED |
| Object | 30 January 1972 |
—
|
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: 30 January 1972 | Statement: [1st Battalion, Parachute Regiment, dateOfEventParticipation, 30 January 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfEventParticipation Context triple: [1st Battalion, Parachute Regiment, dateOfEventParticipation, 30 January 1972]
-
A.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
-
B.
dateOfRelatedEvent
chosen
Indicates that there is a specific date on which a related event associated with the subject occurs or occurred.
-
C.
eventStartDateOrganized
Indicates the date on which an event is formally scheduled or organized to begin.
-
D.
eventDateAtLocation
Indicates that a specific event occurs on a particular date at a given location.
-
E.
dateObserved
Indicates the specific date on which an event, condition, or measurement was recorded or observed.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd577490f48190ac1fb3cbf3d8a41e |
completed | March 20, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.