Triple
T13287560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Toulouse |
E316481
|
entity |
| Predicate | absorptionProcess |
P30941
|
FINISHED |
| Object | gradual integration into royal domain |
—
|
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: gradual integration into royal domain | Statement: [County of Toulouse, absorptionProcess, gradual integration into royal domain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: absorptionProcess Context triple: [County of Toulouse, absorptionProcess, gradual integration into royal domain]
-
A.
absorbed
chosen
Indicates that one entity takes in, soaks up, or assimilates another entity or substance.
-
B.
separationProcess
Indicates a process in which components of a mixture or system are divided or isolated from one another based on differing properties or conditions.
-
C.
partOfProcess
Indicates that one event, step, or action occurs as a component or stage within a larger overall process.
-
D.
hasNeutralizationProcess
Indicates that one entity employs or is associated with a specific process used to neutralize, counteract, or render harmless another entity or effect.
-
E.
intake
Indicates the act of taking something in or consuming it, such as food, drink, or other substances, into a system or organism.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6535688190a5a4549b7be2d611 |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:27 p.m.