Triple
T7956149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strathnaver |
E184742
|
entity |
| Predicate | majorClearancesDate |
P80009
|
FINISHED |
| Object | 1810s |
—
|
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: 1810s | Statement: [Strathnaver, majorClearancesDate, 1810s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorClearancesDate Context triple: [Strathnaver, majorClearancesDate, 1810s]
-
A.
firstEntranceClearedDate
Indicates the date on which an entity’s initial entrance, access, or admission was officially cleared or approved.
-
B.
hasClearance
Indicates that one entity possesses the required authorization level or permission to access or perform actions on another entity or resource.
-
C.
dateGranted
Indicates the specific date on which a right, status, or permission was formally conferred or approved.
-
D.
ordinationDate
Indicates the date on which an individual was formally ordained to a religious office or role.
-
E.
citizenshipRevocationDate
Indicates the specific date on which an individual's citizenship was officially revoked.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7d36c081908cc8760a0dbf6001 |
completed | March 31, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:11 p.m.