Triple
T27134718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Count of Wisborg |
E681650
|
entity |
| Predicate | legalStatusInSweden |
P48821
|
FINISHED |
| Object | non‑royal noble title without succession rights |
—
|
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: non‑royal noble title without succession rights | Statement: [Count of Wisborg, legalStatusInSweden, non‑royal noble title without succession rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusInSweden Context triple: [Count of Wisborg, legalStatusInSweden, non‑royal noble title without succession rights]
-
A.
statusInSweden
chosen
Indicates the legal, social, or official standing or condition that an entity holds within the context of Sweden.
-
B.
legalStatusInMostCountries
Indicates the typical legal classification or treatment of something across the majority of countries.
-
C.
legalStatusInHomeland
Indicates the legal status or classification an entity holds within its country or place of origin.
-
D.
legalStatusInBelgium
Indicates the legal status or standing that an entity holds within the jurisdiction of Belgium.
-
E.
hasLegalStatusInSaudiLaw
Indicates that an entity possesses a specific legal status or recognition under the laws and regulations of Saudi Arabia.
- 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_69eefacbcc2081909ebf00daa23f1981 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 27, 2026, 9:06 a.m.