Triple
T35361473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brickleberry National Park |
E1021495
|
entity |
| Predicate | hasAnimalResident |
P26583
|
FINISHED |
| Object | Malloy |
—
|
NE NERFINISHED |
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: Malloy | Statement: [Brickleberry National Park, hasAnimalResident, Malloy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnimalResident Context triple: [Brickleberry National Park, hasAnimalResident, Malloy]
-
A.
hasAnimal
Indicates that one entity possesses, keeps, or is associated with an animal.
-
B.
hasNonHumanResident
chosen
Indicates that a place or location is inhabited or occupied by one or more non-human entities.
-
C.
hasAnimalCollection
Indicates that one entity possesses or maintains a collection or group of animals associated with it.
-
D.
petPolicy
Indicates the rules or conditions governing whether and how pets are allowed in relation to a place, service, or arrangement.
-
E.
isHouseholdOf
Indicates that one entity functions as the household to which another entity belongs or is associated.
- 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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 3, 2026, 4:03 p.m.