Triple
T299230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chicken |
E6161
|
entity |
| Predicate | domesticatedFor |
P10558
|
FINISHED |
| Object | meat |
—
|
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: meat | Statement: [chicken, domesticatedFor, meat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: domesticatedFor Context triple: [chicken, domesticatedFor, meat]
-
A.
domestication
Indicates the process by which humans tame and genetically adapt a wild species over time so it can live and reproduce under human control or in close association with people.
-
B.
notableDomesticatedSpecies
Indicates that the subject is a species that is particularly well-known or significant as a domesticated animal.
-
C.
isHomeOf
Indicates that a place serves as the primary residence or base for a person, group, or organization.
-
D.
pet
Indicates that one entity keeps another animal for companionship or pleasure, typically providing care and shelter.
-
E.
inhabitedBy
Indicates that a place or location is lived in or occupied by a particular individual, group, or species.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e9398df08190af40063a2de7a1d0 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea07e3bc8190bae593b3264de211 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.