Triple
T24773533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Dunkeld |
E619794
|
entity |
| Predicate | dissolvedOrTransformedInYear |
P138719
|
FINISHED |
| Object | 1560 |
—
|
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: 1560 | Statement: [Bishop of Dunkeld, dissolvedOrTransformedInYear, 1560]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dissolvedOrTransformedInYear Context triple: [Bishop of Dunkeld, dissolvedOrTransformedInYear, 1560]
-
A.
dissolvedWhen
chosen
Indicates that one entity ceases to exist, function, or remain intact at the time or under the conditions specified by another entity or event.
-
B.
dissolvedBefore
Indicates that one entity ceased to exist, function, or remain in solution at an earlier time than another entity.
-
C.
dissolvedOnOrAround
Indicates that an entity ceased to exist, function, or remain in force on or approximately around a specified date.
-
D.
dissolvedInAge
Indicates that one entity ceased to exist or was formally ended during a specified time period or age.
-
E.
dissolvedAs
Indicates that one entity ceased to exist or operate in its original form and was formally absorbed, merged, or reconstituted as another entity.
- 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_69e2fabd04488190a2d13c97be745a2d |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:32 a.m.