Triple
T6997928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parmigiano Reggiano |
E162263
|
entity |
| Predicate | coagulationAgent |
P74139
|
FINISHED |
| Object | animal rennet |
—
|
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: animal rennet | Statement: [Parmigiano Reggiano, coagulationAgent, animal rennet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coagulationAgent Context triple: [Parmigiano Reggiano, coagulationAgent, animal rennet]
-
A.
coagulationType
Indicates the specific kind or category of coagulation process or method associated with an entity.
-
B.
isToolOf
Indicates that one entity functions as an instrument or means used by another entity to perform tasks or achieve goals.
-
C.
applicatorType
Indicates the specific kind or method of applicator used to apply a substance or product in the described relationship.
-
D.
coAdministersWith
Indicates that one entity is administered together with another entity, typically at the same time or as part of the same treatment or process.
-
E.
administeredWith
Indicates that two or more treatments, drugs, or interventions are given to a patient at the same time or as part of the same therapeutic regimen.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeef57881909245c8a5374a8111 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:33 p.m.