Triple
T24377943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Conrad of Burgundy |
E614528
|
entity |
| Predicate | realmAlsoCalled |
P155978
|
FINISHED |
| Object | Kingdom of Arles |
—
|
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: Kingdom of Arles | Statement: [King Conrad of Burgundy, realmAlsoCalled, Kingdom of Arles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realmAlsoCalled Context triple: [King Conrad of Burgundy, realmAlsoCalled, Kingdom of Arles]
-
A.
realmName
Indicates the designated name or title assigned to a particular realm or domain.
-
B.
realmType
Indicates the classification or category of a realm, specifying what kind or type of realm it is.
-
C.
realmAssociatedWith
Indicates an association or connection between an entity and a particular realm, domain, or sphere with which it is linked or to which it pertains.
-
D.
realmRenamedFrom
Indicates that a realm currently known by one name previously had a different name from which it was renamed.
-
E.
realmComponent
Indicates that one entity functions as a constituent or part within the scope, structure, or domain defined by another entity.
- F. None of above. chosen
Provenance (4 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_69e2d7e362e481909e32fe4ef8269d4f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293d96e7c8190b2f33a8fd12c32c6 |
completed | April 29, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:02 a.m.