Triple
T32823279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Egypt |
E839487
|
entity |
| Predicate | couldExercise |
P106101
|
FINISHED |
| Object | informal political power |
—
|
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: informal political power | Statement: [Queen of Egypt, couldExercise, informal political power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: couldExercise Context triple: [Queen of Egypt, couldExercise, informal political power]
-
A.
exerciseOf
chosen
Indicates the performance or carrying out of a right, power, function, or activity by an entity.
-
B.
exercise
Indicates that an entity engages in physical activity or training, typically to improve health, fitness, or performance.
-
C.
exerciseNature
Indicates that an entity engages in or is characterized by a particular type or manner of physical exercise or activity.
-
D.
exercisesWith
Indicates that two or more entities engage in physical exercise or workout activities together.
-
E.
participatesInExercise
Indicates that an entity takes part in a physical exercise activity or workout.
- 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_69f3493df9008190a8f5d843dcd77704 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:15 a.m.