Triple
T8455476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itajubá |
E199908
|
entity |
| Predicate | hasManufacturingPlantType |
P68982
|
FINISHED |
| Object | helicopter production facility |
—
|
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: helicopter production facility | Statement: [Itajubá, hasManufacturingPlantType, helicopter production facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasManufacturingPlantType Context triple: [Itajubá, hasManufacturingPlantType, helicopter production facility]
-
A.
hasIndustrialPlant
Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
-
B.
mainManufacturingSite
Indicates the primary location where an entity’s products are manufactured or produced.
-
C.
hasPrimaryProductionLocation
Indicates that an entity’s main or principal place where it is produced or manufactured is a specified location.
-
D.
productionFacilityType
chosen
Indicates the specific kind or category of facility where production or manufacturing activities take place.
-
E.
hasIndustrialCompany
Indicates that one entity possesses, controls, or is associated with an industrial company.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48e0ae481908b40f7f124b0551e |
completed | March 31, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69cbd0fc634481909842c0a30077bfde |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:10 p.m.