Triple
T16728908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donda 2 |
E406533
|
entity |
| Predicate | partiallyReleased |
P124407
|
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: [Donda 2, partiallyReleased, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partiallyReleased Context triple: [Donda 2, partiallyReleased, true]
-
A.
partiallyCompleted
Indicates that an action, process, or task has been started and progressed to some extent, but has not yet been fully completed.
-
B.
partiallyReusable
Indicates that an entity can be reused to some extent but not fully or indefinitely, implying limited or partial reusability.
-
C.
isPartially
Indicates that one entity is included within another to some extent, but not completely or fully.
-
D.
partiallyPreserved
Indicates that the referenced entity or object is only incompletely intact, with some parts missing, damaged, or lost while others remain.
-
E.
partiallyRestored
Indicates that an entity has been brought back toward a previous or original state, but the restoration is incomplete or only partially achieved.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38749baa48190892b2e2b978f6eb6 |
completed | April 18, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:20 a.m.