Triple
T7025288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Hardeman Burnett |
E162928
|
entity |
| Predicate | governorNumber |
P5523
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Peter Hardeman Burnett, governorNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorNumber Context triple: [Peter Hardeman Burnett, governorNumber, 1]
-
A.
governorateOf
Indicates that one entity is the governorate (administrative region) to which another entity belongs or is located within.
-
B.
numberOfGovernors
chosen
Indicates the total count of governors associated with or governing a specified entity.
-
C.
currentGovernor
Indicates that one entity is the person who presently holds the office of governor of the other entity.
-
D.
provinceGovernor
Indicates that one entity serves as the governor or chief administrative authority of a particular province in relation to the other entity.
-
E.
governorBasedIn
Indicates that a governor carries out their official duties or has their primary office located in a specified place.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:35 p.m.