Triple
T1854723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Motors Flint Assembly Plant |
E41674
|
entity |
| Predicate | isInSector |
P20326
|
FINISHED |
| Object | manufacturing sector |
—
|
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: manufacturing sector | Statement: [General Motors Flint Assembly Plant, isInSector, manufacturing sector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInSector Context triple: [General Motors Flint Assembly Plant, isInSector, manufacturing sector]
-
A.
isInPort
Indicates that an entity (such as a vessel or vehicle) is currently located within or docked at a specific port.
-
B.
isInProtectedArea
Indicates that an entity is located within a designated protected or conservation area.
-
C.
isSectorSpecific
chosen
Indicates that something is tailored or restricted to a particular industry or sector rather than being generally applicable.
-
D.
tracksSector
Indicates that one entity monitors, follows, or keeps records of the status or performance of a particular sector.
-
E.
isInIsland
Indicates that one entity is located within the geographic boundaries of an island.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.