Triple
T11759681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Graf zu Waldeck |
E279618
|
entity |
| Predicate | nobleEstateType |
P33508
|
FINISHED |
| Object | county |
—
|
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: county | Statement: [Graf zu Waldeck, nobleEstateType, county]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nobleEstateType Context triple: [Graf zu Waldeck, nobleEstateType, county]
-
A.
nobleEstate
Indicates that an entity is a noble’s estate or property associated with nobility.
-
B.
nobleHouseType
Indicates the specific category or classification of a noble house (e.g., royal, ducal, baronial) within a hierarchy or system of nobility.
-
C.
hasEstateType
chosen
Indicates that an entity possesses or is associated with a particular category or type of estate.
-
D.
countryEstate
Indicates that a particular estate or property is located within or belongs to a specified country.
-
E.
realEstateCategory
Indicates the classification of a property into a specific type or category within real estate (e.g., residential, commercial, industrial).
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5220f148190ae60d1941a579ab6 |
completed | April 10, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69d88a829fe481909cc5431de7d6058e |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.