Triple
T36949064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maashorst |
E914003
|
entity |
| Predicate | hasLargeGrazers |
P73619
|
FINISHED |
| Object | Tauros cattle |
—
|
NE NERFINISHED |
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: Tauros cattle | Statement: [Maashorst, hasLargeGrazers, Tauros cattle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLargeGrazers Context triple: [Maashorst, hasLargeGrazers, Tauros cattle]
-
A.
hasLargeSpecies
chosen
Indicates that an entity possesses or includes at least one species that is considered large in size.
-
B.
grazedBy
Indicates that one entity serves as the food source being eaten by another entity through grazing.
-
C.
hasGrazingManagement
Indicates that an entity applies or is associated with a specific system or practice for managing grazing activities.
-
D.
hasFeralCattleSince
Indicates that feral cattle have been present in or associated with an entity continuously since a specified point in time.
-
E.
hasBighornSheep
Indicates that the subject possesses, contains, or is associated with one or more bighorn sheep.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffc516d1908190b475f5a6156b0ca8 |
completed | May 9, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69ffc4a946e08190b3535a5dc15ac484 |
completed | May 9, 2026, 11:35 p.m. |
Created at: May 3, 2026, 4:13 p.m.