Triple
T6672581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawa |
E151765
|
entity |
| Predicate | hasGarbageCollection |
P16210
|
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: [Kawa, hasGarbageCollection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGarbageCollection Context triple: [Kawa, hasGarbageCollection, true]
-
A.
usesGarbageCollectorType
chosen
Indicates that one entity employs or is configured to employ a specific type of garbage collection mechanism or strategy associated with another entity.
-
B.
hasProperCollect
Indicates that an entity is associated with a specific proper collect, i.e., a designated formal prayer or liturgical text assigned to it.
-
C.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
D.
canCollect
Indicates that one entity has the ability or permission to gather, receive, or take possession of another entity.
-
E.
hadPurgeEvent
Indicates that a purge or removal operation occurred involving the related entities or data.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ce738fe88190a5557900efeec7ec |
completed | March 27, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69c6ad09974c81908784300ae218961f |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:03 p.m.