Triple
T22449627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Leoline |
E554954
|
entity |
| Predicate | createdInYearApprox |
P13262
|
FINISHED |
| Object | 1797–1800 |
—
|
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: 1797–1800 | Statement: [Sir Leoline, createdInYearApprox, 1797–1800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdInYearApprox Context triple: [Sir Leoline, createdInYearApprox, 1797–1800]
-
A.
estimatedYearOfCreation
chosen
Indicates the year in which something is believed or approximated to have been created, rather than a precisely known creation year.
-
B.
approximateStartYear
Indicates that the associated year value represents an estimated or imprecise starting year for an event, state, or relationship rather than an exact one.
-
C.
endYearApprox
Indicates that the end year of an event, state, or relationship is known only approximately rather than as a precise calendar year.
-
D.
releaseApproximateYear
Indicates that an entity was released or made available around a specified year, where the year is approximate rather than exact.
-
E.
originYear
Indicates the year in which something first originated, was created, or began.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ae8a08190ba6027f036ce62af |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.