Triple
T34873282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duchy of Wrocław |
E1005809
|
entity |
| Predicate | lastPiastRuler |
P1546
|
FINISHED |
| Object | Bolesław III the Generous |
—
|
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: Bolesław III the Generous | Statement: [Duchy of Wrocław, lastPiastRuler, Bolesław III the Generous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastPiastRuler Context triple: [Duchy of Wrocław, lastPiastRuler, Bolesław III the Generous]
-
A.
lastMonarchOf
chosen
Indicates that one entity is the final reigning monarch of another entity, such as a country, kingdom, or territory.
-
B.
penultimateMonarchOf
Indicates that one entity is the second-to-last monarch to have ruled over the other entity.
-
C.
lastHolyRomanEmperorFromHouse
Indicates that the subject is the final Holy Roman Emperor belonging to the specified ruling house or dynasty.
-
D.
PolishKing
Indicates that the subject is a king of Poland.
-
E.
lastDeJureHolder
Indicates that one entity is the most recent legally recognized holder or possessor of another entity (such as a title, office, or right).
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.