Triple
T34608900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earls of Dalhousie |
E888668
|
entity |
| Predicate | governorFromFamily |
P203285
|
FINISHED |
| Object | George Ramsay, 9th Earl of Dalhousie |
—
|
NE NERFINISHED |
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: George Ramsay, 9th Earl of Dalhousie | Statement: [Earls of Dalhousie, governorFromFamily, George Ramsay, 9th Earl of Dalhousie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorFromFamily Context triple: [Earls of Dalhousie, governorFromFamily, George Ramsay, 9th Earl of Dalhousie]
-
A.
governorGeneralFromFamily
Indicates that a person serves or served as governor-general and comes from a specified family or lineage.
-
B.
governorFrom
Indicates that a person holds or has held the office of governor of a specified political region or jurisdiction.
-
C.
governorateNamedAfter
Indicates that a governorate derives its name from a particular person, place, or entity.
-
D.
governorBasedIn
Indicates that a governor carries out their official duties or has their primary office located in a specified place.
-
E.
governorateOf
Indicates that one entity is the governorate (administrative region) to which another entity belongs or is located within.
- 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0149447e448190b0480943de0691ee |
completed | May 11, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_6a0148e2c39c8190a3ad6ea6be902c04 |
completed | May 11, 2026, 3:11 a.m. |
| PDg | Predicate description generation | batch_6a014943b7d481909fa2c1c3f176db24 |
completed | May 11, 2026, 3:13 a.m. |
Created at: May 1, 2026, 2:03 a.m.