Triple
T31559618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swona |
E805223
|
entity |
| Predicate | hasFeralCattleSince |
P180815
|
FINISHED |
| Object | 1970s |
—
|
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: 1970s | Statement: [Swona, hasFeralCattleSince, 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFeralCattleSince Context triple: [Swona, hasFeralCattleSince, 1970s]
-
A.
wasDomesticatedIn
Indicates that an entity became domesticated during or within a specified time period or historical era.
-
B.
hasTraditionalAnimalBreed
Indicates that an entity is associated with or possesses an animal that belongs to a recognized traditional breed.
-
C.
hasPastoralArea
Indicates that one entity is assigned to, responsible for, or associated with a specific pastoral area or pastoral care region of another entity.
-
D.
grazedBy
Indicates that one entity serves as the food source being eaten by another entity through grazing.
-
E.
hidesCattleBy
Indicates that one entity conceals or keeps cattle out of sight by means of, or through the action of, another entity.
- F. None of above. chosen
Provenance (4 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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
| PDg | Predicate description generation | batch_69f7516c538481908c6e55cf76add098 |
completed | May 3, 2026, 1:45 p.m. |
Created at: April 30, 2026, 10:14 p.m.