Triple
T30098352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Benoic |
E764926
|
entity |
| Predicate | realmLocatedInTradition |
P88079
|
FINISHED |
| Object | continental Europe |
—
|
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: continental Europe | Statement: [King of Benoic, realmLocatedInTradition, continental Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realmLocatedInTradition Context triple: [King of Benoic, realmLocatedInTradition, continental Europe]
-
A.
placesInTradition
Indicates that one entity is situated, interpreted, or understood within the context or framework of a particular tradition.
-
B.
governedWithinTradition
Indicates that an entity’s actions, decisions, or organization are regulated or constrained according to a particular established tradition or customary framework.
-
C.
realmWithin
Indicates that one realm or domain is contained inside, or exists as a subset of, another realm or domain.
-
D.
countryInTradition
Indicates that a country participates in, is associated with, or belongs to a particular cultural, historical, or religious tradition.
-
E.
locatedInTraditionalRegion
chosen
Indicates that an entity is situated within a specific traditional or historically recognized region.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d92dbdc8190ae3e8f67b979cb5c |
completed | May 2, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:07 p.m.