Triple
T16780614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Buccaneers |
E407846
|
entity |
| Predicate | incompleteSections |
P45410
|
FINISHED |
| Object | final chapters |
—
|
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: final chapters | Statement: [The Buccaneers, incompleteSections, final chapters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incompleteSections Context triple: [The Buccaneers, incompleteSections, final chapters]
-
A.
openedInSections
Indicates that something has been opened or made accessible in multiple distinct sections or parts.
-
B.
liturgicalSectionIncomplete
Indicates that a liturgical section exists but is not fully completed, specified, or provided in its entirety.
-
C.
hasUnmarkedSections
Indicates that certain sections within an entity lack required labels, annotations, or markings.
-
D.
coveredSectionsLocation
Indicates the specific location or area where the covered sections are situated or applied.
-
E.
partiallyCompleted
chosen
Indicates that an action, process, or task has been started and progressed to some extent, but has not yet been fully completed.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b214cebc81909de80e74b4bac5f8 |
completed | April 18, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69e319cf691c819083e39225f5777ef0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:22 a.m.