Triple
T1762935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Beetle |
E38697
|
entity |
| Predicate | originalProductionEnd |
P4160
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [Volkswagen Beetle, originalProductionEnd, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalProductionEnd Context triple: [Volkswagen Beetle, originalProductionEnd, 2003]
-
A.
productionEnd
chosen
Indicates that a production process, activity, or run has come to its completion or final stopping point.
-
B.
serializationEndYear
Indicates the year in which the serialization or serialized publication of an entity concluded.
-
C.
finalReleaseYear
Indicates the calendar year in which something (such as a product, work, or version) is officially released for the last time.
-
D.
firstProducedAt
Indicates the location or context where something was originally created, manufactured, or brought into existence for the first time.
-
E.
productionStartYear
Indicates the year in which the production of an item, work, or entity first began.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab173936b4819097332ee185996bbd |
completed | March 6, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69aa61c9e06c819085489e00cfe72153 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.