Triple
T19421294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westergo |
E485858
|
entity |
| Predicate | partOfMedievalFrisianDivision |
P5057
|
FINISHED |
| Object | threefold division of Frisia |
—
|
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: threefold division of Frisia | Statement: [Westergo, partOfMedievalFrisianDivision, threefold division of Frisia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfMedievalFrisianDivision Context triple: [Westergo, partOfMedievalFrisianDivision, threefold division of Frisia]
-
A.
kingdomDividedBy
Indicates that a kingdom is separated into distinct parts or regions by a specified boundary, event, or factor.
-
B.
formerFiefOf
Indicates that a territory or domain was previously under the control or jurisdiction of a specified lord, ruler, or political entity as a fief.
-
C.
conqueredInPartBy
Indicates that one entity has gained control over a portion, but not the entirety, of another entity through conquest.
-
D.
historicallyPartOf
chosen
Indicates that one entity was formerly a component, region, or subdivision of another entity during a past historical period, but is not necessarily part of it in the present.
-
E.
historicallyDividedInto
Indicates that an entity was separated into multiple distinct parts or regions during a past historical period.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63214d768819082129100d7116521 |
completed | April 20, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4fd68b1f881908d273de1fee81a75 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.