Triple
T5945615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Temeraire |
E132270
|
entity |
| Predicate | paintingCompletionDate |
P66911
|
FINISHED |
| Object | 1839 |
—
|
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: 1839 | Statement: [HMS Temeraire, paintingCompletionDate, 1839]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paintingCompletionDate Context triple: [HMS Temeraire, paintingCompletionDate, 1839]
-
A.
originalCompletionDate
Indicates the date on which something was first completed, before any subsequent changes, revisions, or updates.
-
B.
archCompletionDate
Indicates the date on which an architectural element, project, or structure was completed.
-
C.
paintedIn
Indicates that an artwork or object was created or executed using paint within a specific time period or at a particular location.
-
D.
ceilingFrescoCompletionYear
Indicates the year in which the painting or decoration of a ceiling fresco was completed.
-
E.
lastJudgmentPaintingEndDate
Indicates the date on which the creation of a Last Judgment painting was completed.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0335806788190b6488ca8b73f7a63 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c03edf98b881908e9dbc03d3fd6218 |
completed | March 22, 2026, 7:11 p.m. |
Created at: March 22, 2026, 4:01 p.m.