Triple
T22615725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | beylerbey |
E558139
|
entity |
| Predicate | couldLead |
P18658
|
FINISHED |
| Object | provincial armies in wartime |
—
|
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: provincial armies in wartime | Statement: [beylerbey, couldLead, provincial armies in wartime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: couldLead Context triple: [beylerbey, couldLead, provincial armies in wartime]
-
A.
canLeadTo
chosen
Indicates that one entity, condition, or event has the potential to cause, result in, or bring about another.
-
B.
couldPass
Indicates that one entity had the ability or potential to move through, overcome, or be accepted by another entity or barrier.
-
C.
couldElect
Indicates that one entity has the potential or ability, under certain conditions or rules, to choose another entity for an office, role, or position through an election.
-
D.
candidateFor
Indicates that one entity is being considered or proposed as a possible choice, option, or selection for another entity (such as a role, position, or outcome).
-
E.
persuadedToLead
Indicates that one entity successfully convinced another entity to take on a leadership role or position.
- 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f167edec2481909c2f06607b3cb8f6 |
completed | April 29, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:59 p.m.