Triple
T37474890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minchinhampton Common |
E931251
|
entity |
| Predicate | grazingBy |
P178168
|
FINISHED |
| Object | cattle |
—
|
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: cattle | Statement: [Minchinhampton Common, grazingBy, cattle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grazingBy Context triple: [Minchinhampton Common, grazingBy, cattle]
-
A.
grazedBy
chosen
Indicates that one entity serves as the food source being eaten by another entity through grazing.
-
B.
usesPastoralSetting
Indicates that the action or work is set in an idealized rural or countryside environment characteristic of pastoral themes.
-
C.
pastoralActivities
Indicates activities related to providing spiritual care, guidance, or religious leadership within a community.
-
D.
pastoralGoal
Indicates that an entity has a religious or spiritual care objective directed toward another entity or group.
-
E.
hasGrazingManagement
Indicates that an entity applies or is associated with a specific system or practice for managing grazing activities.
- 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_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8e64660c8190bb71273ed68cdcb9 |
completed | May 6, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69fb8d0c53c08190b64291bac58cdb4c |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:17 p.m.