Triple
T19832407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Augeas |
E476494
|
entity |
| Predicate | laborInvolved |
P59641
|
FINISHED |
| Object | cleaning of the Augean stables |
—
|
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: cleaning of the Augean stables | Statement: [King Augeas, laborInvolved, cleaning of the Augean stables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laborInvolved Context triple: [King Augeas, laborInvolved, cleaning of the Augean stables]
-
A.
labourOf
chosen
Indicates that one entity is the work, effort, or labor performed or contributed by another entity.
-
B.
involvesWorkers
Indicates that an event, process, or situation includes workers as active participants or affected parties.
-
C.
hasManualLabor
Indicates that one entity performs or is responsible for physical or manual work in relation to another entity or context.
-
D.
performedLabourAt
Indicates that an entity carried out work or labor activities at a specific place or organization.
-
E.
laborProvision
Indicates the provision or supply of labor or workforce from one party to another for work or services.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cf7e488190b4be28b5e7b363bf |
completed | April 20, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.