Triple
T12456427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westerbork transit camp |
E297671
|
entity |
| Predicate | dateTakenOver |
P48144
|
FINISHED |
| Object | 1942 |
—
|
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: 1942 | Statement: [Westerbork transit camp, dateTakenOver, 1942]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateTakenOver Context triple: [Westerbork transit camp, dateTakenOver, 1942]
-
A.
hasCaptureDate
Indicates the date on which something (such as an image, video, or data sample) was originally captured or recorded.
-
B.
dateHandedOver
chosen
Indicates the specific date on which something (such as an item, document, or responsibility) was formally transferred from one party to another.
-
C.
capturedAt
Indicates the specific time or moment at which an entity was captured, recorded, or taken.
-
D.
dateOfConversion
Indicates the specific date on which an entity changed status, form, or affiliation (e.g., religious, legal, or organizational conversion).
-
E.
modificationDate
Indicates the date and time at which an entity was last changed or updated.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.