Triple
T7991957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moorpark College |
E186028
|
entity |
| Predicate | zooUsedFor |
P80221
|
FINISHED |
| Object | teaching |
—
|
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: teaching | Statement: [Moorpark College, zooUsedFor, teaching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zooUsedFor Context triple: [Moorpark College, zooUsedFor, teaching]
-
A.
zooType
Indicates the classification or category of a zoo, such as its type or kind.
-
B.
zooSpecialization
Indicates that one entity is a zoo whose primary focus or expertise is specialized in the type, category, or group represented by the other entity.
-
C.
zooSection
Indicates that one entity is a specific section or area within a zoo where the other entity is located, organized, or assigned.
-
D.
hasZoo
Indicates that one entity possesses, operates, or is associated with a zoo.
-
E.
isMajorZooIn
Indicates that a zoo is a primary or significant zoological institution located within a specified geographic area or jurisdiction.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c712d0481908d163d2509d054fa |
completed | March 31, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:16 p.m.