Triple
T33703245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OWCA |
E863514
|
entity |
| Predicate | typeOfAgents |
P15045
|
FINISHED |
| Object | anthropomorphic animals |
—
|
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: anthropomorphic animals | Statement: [OWCA, typeOfAgents, anthropomorphic animals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAgents Context triple: [OWCA, typeOfAgents, anthropomorphic animals]
-
A.
isAgencyType
Indicates that an entity belongs to, or is classified under, a particular type or category of agency.
-
B.
storedAgentType
chosen
Indicates the type or category of agent that has been stored or recorded in association with an entity or event.
-
C.
numberOfAgents
Indicates the quantity of agents involved in or associated with a given entity or situation.
-
D.
typeOfAutonomousEntity
Indicates that one entity is classified as a specific kind or category of autonomous entity in relation to another.
-
E.
agencyTypeOfOperator
Indicates the specific type or category of agency to which the operator belongs or by which the operator is characterized.
- F. None of above.
Provenance (3 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00c9ddd62881909859a36b114a4132 |
completed | May 10, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_6a00c939b88881909d5353db4265e572 |
completed | May 10, 2026, 6:06 p.m. |
Created at: May 1, 2026, 1:43 a.m.