Triple
T37229239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slate Rock and Gravel Company |
E923085
|
entity |
| Predicate | workEnvironmentType |
P48505
|
FINISHED |
| Object | outdoor quarry |
—
|
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: outdoor quarry | Statement: [Slate Rock and Gravel Company, workEnvironmentType, outdoor quarry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workEnvironmentType Context triple: [Slate Rock and Gravel Company, workEnvironmentType, outdoor quarry]
-
A.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
B.
environmentAtOccupation
Indicates the type of environment or setting present at the location where an occupation or job is performed.
-
C.
genreOfWorkEnvironment
chosen
Indicates the type or style of work environment associated with a particular job, role, or organization.
-
D.
workEnvironmentDepiction
Indicates a depiction or representation of the conditions, atmosphere, or setting in which work or professional activities take place.
-
E.
professionalEnvironment
Indicates a relationship where an entity operates, interacts, or exists within a work-related or career-oriented setting or context.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:15 p.m.