Triple
T9216032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cynara |
E221242
|
entity |
| Predicate | containsSpeciesUsedForFood |
P86904
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cynara, containsSpeciesUsedForFood, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsSpeciesUsedForFood Context triple: [Cynara, containsSpeciesUsedForFood, true]
-
A.
containsSpeciesUsedAs
Indicates that something includes, as part of its composition or content, a particular species that is used for a specified purpose.
-
B.
includesSpeciesWithDiet
Indicates that a group, area, or collection contains at least one species characterized by a specified type of diet.
-
C.
edibleSpecies
Indicates that one species can be safely eaten as food by another species or by humans.
-
D.
usedBySpecies
Indicates that something (such as an object, resource, or method) is utilized or employed by a particular species.
-
E.
isEatenIn
Indicates that one entity (typically food) is consumed within the context, location, or occasion specified by 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda096358819096d4e790da057512 |
completed | April 1, 2026, 8:40 a.m. |
| PD | Predicate disambiguation | batch_69cc660ce23c81909c7bbe10f4a05f36 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc687067fc81909da2d78fda0cdcfb |
completed | April 1, 2026, 12:36 a.m. |
Created at: March 30, 2026, 7:27 p.m.