Triple
T4403477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holden UC Torana |
E93669
|
entity |
| Predicate | soldAsNewUntil |
P56052
|
FINISHED |
| Object | early 1980s (remaining stock) |
—
|
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: early 1980s (remaining stock) | Statement: [Holden UC Torana, soldAsNewUntil, early 1980s (remaining stock)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soldAsNewUntil Context triple: [Holden UC Torana, soldAsNewUntil, early 1980s (remaining stock)]
-
A.
soldAfter
Indicates that one item was sold at a later time than another item.
-
B.
soldAs
Indicates that one entity is marketed, offered, or presented to others under the name, form, or role of another entity.
-
C.
soldDuring
Indicates that a selling transaction or event occurred within the time span of a specified period or event.
-
D.
soldAt
Indicates that a product or item is offered for sale at a particular location, venue, or outlet.
-
E.
firstEditionSoldOutTime
Indicates the point in time at which the first edition of an item became completely sold out.
- F. None of above. chosen
Provenance (4 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352d1af608190ac06d50433cf24bb |
completed | March 12, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69b34f5b36a881909bf2e970aa523390 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3509997208190933f167f7e20ccfa |
completed | March 12, 2026, 11:47 p.m. |
Created at: March 12, 2026, 11:28 p.m.