Triple
T33843995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavelua (King of Uvea) |
E867427
|
entity |
| Predicate | hasAlternativeFormOfName |
P110696
|
FINISHED |
| Object | Lavelua of Uvea |
—
|
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: Lavelua of Uvea | Statement: [Lavelua (King of Uvea), hasAlternativeFormOfName, Lavelua of Uvea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeFormOfName Context triple: [Lavelua (King of Uvea), hasAlternativeFormOfName, Lavelua of Uvea]
-
A.
hasAlternativeFamilyName
Indicates that an entity is associated with an additional or variant family name besides its primary family name.
-
B.
hasAlternativeToponymy
Indicates that an entity is associated with one or more alternative place names or toponyms used to refer to the same geographic location.
-
C.
hasAlternativeNamesakeRole
Indicates that an entity serves in an additional or alternative role as a namesake, distinct from its primary namesake role.
-
D.
haveAlternativeTitle
chosen
Indicates that an entity is known by one or more alternative titles or names in addition to its primary title.
-
E.
hasAlternativeNameForSameRace
Indicates that one name is an alternative designation used for the same race as another name.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
Created at: May 1, 2026, 1:47 a.m.