Triple
T377947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford F-Series |
E8611
|
entity |
| Predicate | production |
P4160
|
FINISHED |
| Object | continuous |
—
|
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: continuous | Statement: [Ford F-Series, production, continuous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: production Context triple: [Ford F-Series, production, continuous]
-
A.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
B.
productionEnd
chosen
Indicates that a production process, activity, or run has come to its completion or final stopping point.
-
C.
practice
Indicates that an entity regularly performs an activity or skill, typically to improve proficiency or maintain competence.
-
D.
totalProduction
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
E.
export
Indicates that one entity sends goods, services, or data out from its own domain or territory to another entity or external destination.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec1804108190a1e94526b71289ea |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e96351cc8190a55adf95f8c27e9e |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.