Triple
T37278830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pontiac Catalina |
E925321
|
entity |
| Predicate | previousUseOfName |
P145623
|
FINISHED |
| Object | top trim level of Pontiac Chieftain |
—
|
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: top trim level of Pontiac Chieftain | Statement: [Pontiac Catalina, previousUseOfName, top trim level of Pontiac Chieftain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousUseOfName Context triple: [Pontiac Catalina, previousUseOfName, top trim level of Pontiac Chieftain]
-
A.
previousNameUsedUntil
Indicates that a particular name was used for an entity up to (but not necessarily including) a specified end date or time.
-
B.
usedBeforeNameOf
Indicates that one element is used immediately before the name of another element, typically as a prefix or preceding modifier.
-
C.
nameUsedSince
Indicates that a particular name has been in use for an entity starting from a specified point in time.
-
D.
historicalNameUsedIn
chosen
Indicates that a historical or former name was used to refer to a particular entity in some context.
-
E.
currentNameUsedFrom
Indicates that an entity’s currently used name has been in effect starting from a specified point in time or source.
- 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffc605b0648190a7abe9128b0d857a |
completed | May 9, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69ffc5742d80819099f947ece78d5700 |
completed | May 9, 2026, 11:38 p.m. |
Created at: May 3, 2026, 4:16 p.m.