Triple
T26230002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Leones |
E656007
|
entity |
| Predicate | associatedWithKitManufacturer |
P119866
|
FINISHED |
| Object | various over time |
—
|
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: various over time | Statement: [Los Leones, associatedWithKitManufacturer, various over time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithKitManufacturer Context triple: [Los Leones, associatedWithKitManufacturer, various over time]
-
A.
associatedWithFirmware
Indicates a relationship where an entity is linked or connected to specific firmware, such as being used by, dependent on, or relevant to that firmware.
-
B.
componentTypeAssociatedWithBrand
Indicates that a specific component type is linked or affiliated with a particular brand.
-
C.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
-
D.
manufacturerAssociation
chosen
Indicates a relationship where one entity is associated with another in the role of manufacturer, typically responsible for producing or making the associated item.
-
E.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
- 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69feecf1bb248190ba30f0bb1d22ee08 |
completed | May 9, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69feea5f27748190b223ee4e3ba5a678 |
completed | May 9, 2026, 8:03 a.m. |
Created at: April 26, 2026, 8:59 p.m.