Triple
T11379339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clan MacGregor |
E269551
|
entity |
| Predicate | nameRestorationYear |
P17995
|
FINISHED |
| Object | 1774 |
—
|
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: 1774 | Statement: [Clan MacGregor, nameRestorationYear, 1774]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameRestorationYear Context triple: [Clan MacGregor, nameRestorationYear, 1774]
-
A.
nameRestored
Indicates that an entity’s original or correct name has been reinstated after having been changed, lost, or altered.
-
B.
usedNameToYear
Indicates that a particular name was in use or valid during a specified year.
-
C.
dateRestoredName
chosen
Indicates the date on which a previously changed or removed name was restored to its former or original form.
-
D.
reconstructionOrRestorationDate
Indicates the date on which an entity was reconstructed or restored after damage, alteration, or deterioration.
-
E.
originalNameUsedInYears
Indicates that a particular original name was in use for an entity during a specified range of years.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:34 p.m.