Triple
T28452849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Brugeoise wooden cars |
E716624
|
entity |
| Predicate | serviceWithdrawalYearApprox |
P172010
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [La Brugeoise wooden cars, serviceWithdrawalYearApprox, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceWithdrawalYearApprox Context triple: [La Brugeoise wooden cars, serviceWithdrawalYearApprox, 2013]
-
A.
withdrawalEndYear
Indicates the year in which a withdrawal process or period comes to an end.
-
B.
withdrawnInYear
chosen
Indicates that an entity was officially withdrawn, discontinued, or removed in a specified calendar year.
-
C.
cancellationYear
Indicates the year in which something (such as an event, contract, or service) was officially canceled or terminated.
-
D.
withdrawalStartYear
Indicates the year in which a withdrawal process or action begins.
-
E.
serviceYears
Indicates the number of years an entity has provided service or been in a particular role, position, or organization.
- 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_69efd6b76f8c8190a7ba908aca280942 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 28, 2026, 1:52 a.m.