Triple
T12603380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolingian County of Barcelona |
E300912
|
entity |
| Predicate | gradualChange |
P26626
|
FINISHED |
| Object | increasing de facto independence from the Frankish kings |
—
|
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: increasing de facto independence from the Frankish kings | Statement: [Carolingian County of Barcelona, gradualChange, increasing de facto independence from the Frankish kings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradualChange Context triple: [Carolingian County of Barcelona, gradualChange, increasing de facto independence from the Frankish kings]
-
A.
adoptedGraduallyBy
Indicates that one entity is taken up, accepted, or implemented by another entity in a slow, incremental, or phased manner over time.
-
B.
changesEvery
Indicates that one entity undergoes a change whenever or each time another specified condition, event, or entity changes.
-
C.
transition
chosen
Indicates a change of state or condition from one form, phase, or situation to another.
-
D.
changesWith
Indicates that one entity varies or is modified in response to changes in another entity.
-
E.
changeType
Indicates the specific kind or category of modification that has occurred to an entity or relationship.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9559458dc8190bc4d6e697e99d70e |
completed | April 10, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69d9541894fc8190a0c3706a414279f0 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 5:10 p.m.