Triple
T36893298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorkshire farm |
E911814
|
entity |
| Predicate | riskToChickens |
P186653
|
FINISHED |
| Object | being turned into pies |
—
|
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: being turned into pies | Statement: [Yorkshire farm, riskToChickens, being turned into pies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riskToChickens Context triple: [Yorkshire farm, riskToChickens, being turned into pies]
-
A.
isGoodForBackyardFlocks
Indicates that something is suitable or beneficial for keeping and managing small-scale backyard poultry flocks.
-
B.
birdCondition
Indicates the state or condition that a bird is experiencing or exhibiting.
-
C.
chickBehavior
Indicates the typical actions, responses, or conduct exhibited by a chick in various situations.
-
D.
chickType
Indicates the specific category or kind that a chick belongs to (e.g., by breed, sex, or developmental classification).
-
E.
maleFeedsFemaleAndChicks
Indicates that an adult male provides food to both an adult female and their chicks.
- 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_69f76e8335908190b77e7e11d0e80820 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fe1a1ca4819084c196f0041f0be2 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
| PDg | Predicate description generation | batch_69f9fd66eed48190bdc26a8def328c2d |
completed | May 5, 2026, 2:23 p.m. |
Created at: May 3, 2026, 4:13 p.m.