Triple
T24662699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bructeri |
E610579
|
entity |
| Predicate | partlyAbsorbedInto |
P64654
|
FINISHED |
| Object | Frankish confederation |
—
|
NE NERFINISHED |
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: Frankish confederation | Statement: [Bructeri, partlyAbsorbedInto, Frankish confederation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partlyAbsorbedInto Context triple: [Bructeri, partlyAbsorbedInto, Frankish confederation]
-
A.
partiallyIncorporatedInto
chosen
Indicates that one entity has been integrated or absorbed into another entity, but only to a limited or incomplete extent.
-
B.
absorbed
Indicates that one entity takes in, soaks up, or assimilates another entity or substance.
-
C.
dissolvedInPart
Indicates that one substance is only partially dissolved in another, resulting in an incomplete or limited dissolution.
-
D.
partiallyPreserved
Indicates that the referenced entity or object is only incompletely intact, with some parts missing, damaged, or lost while others remain.
-
E.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, of another entity.
- 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_69e2c4d453248190a020354e93ef6282 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:34 a.m.