Triple
T8112976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fray Bentos |
E189399
|
entity |
| Predicate | industrialComplexNameUsedIn |
P81348
|
FINISHED |
| Object | Fray Bentos brand canned meat |
—
|
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: Fray Bentos brand canned meat | Statement: [Fray Bentos, industrialComplexNameUsedIn, Fray Bentos brand canned meat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industrialComplexNameUsedIn Context triple: [Fray Bentos, industrialComplexNameUsedIn, Fray Bentos brand canned meat]
-
A.
isIndustrialCenter
Indicates that a place functions as a major hub of industrial activity, production, or manufacturing within a region.
-
B.
hasIndustrialParkName
Indicates that an entity (such as an industrial park or related facility) bears or is identified by a specific industrial park name.
-
C.
hasIndustrialPlant
Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
-
D.
servesIndustrialCity
Indicates that something functions to provide services, support, or utility to an industrial city.
-
E.
connectsIndustrialCenter
Indicates a relationship where one entity serves as a link or route that joins or provides access between industrial centers.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
| PDg | Predicate description generation | batch_69cb46635424819085d086972b264280 |
completed | March 31, 2026, 3:58 a.m. |
Created at: March 30, 2026, 5:32 p.m.