Triple
T35952239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontiac dealerships |
E1039760
|
entity |
| Predicate | changeAfterEvent |
P178649
|
FINISHED |
| Object | many converted to other GM brands after Pontiac discontinuation |
—
|
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: many converted to other GM brands after Pontiac discontinuation | Statement: [Pontiac dealerships, changeAfterEvent, many converted to other GM brands after Pontiac discontinuation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changeAfterEvent Context triple: [Pontiac dealerships, changeAfterEvent, many converted to other GM brands after Pontiac discontinuation]
-
A.
changesAfterEvents
chosen
Indicates that one entity undergoes a change as a consequence of, or following, the occurrence of specified events.
-
B.
replacedAfterEvent
Indicates that one entity takes the place of another entity following a specified event or occurrence.
-
C.
changedAfter
Indicates that one entity underwent a change at a point in time that is later than the time at which another referenced entity changed.
-
D.
changesWith
Indicates that one entity varies or is modified in response to changes in another entity.
-
E.
settingAfterEvent
Indicates that a particular setting or state occurs subsequent to, and as a result of or in temporal sequence with, a specified event.
- 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_69f76e25ea488190b7cee970b3e70382 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.