Triple
T33127108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congress of Mantua (1459) |
E847749
|
entity |
| Predicate | intendedResult |
P88492
|
FINISHED |
| Object | formation of a Christian league against the Ottomans |
—
|
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: formation of a Christian league against the Ottomans | Statement: [Congress of Mantua (1459), intendedResult, formation of a Christian league against the Ottomans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedResult Context triple: [Congress of Mantua (1459), intendedResult, formation of a Christian league against the Ottomans]
-
A.
intendedWith
Indicates that one entity is the planned or desired target, recipient, or context for the use or application of another entity.
-
B.
intendedFunction
Indicates that something is designed or purposed to perform a particular role, use, or function.
-
C.
intendsTo
chosen
Indicates that one entity has the purpose, plan, or desire to perform an action involving another entity or outcome.
-
D.
hasIntendedEffect
Indicates that one entity is expected or designed to produce a particular effect or outcome on another entity or context.
-
E.
intendedProgram
Indicates the academic or training program that an entity plans or expects to pursue, rather than one they are currently enrolled in or have completed.
- 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_69f349588f088190b7c9588860f72033 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: May 1, 2026, 1:27 a.m.