Triple
T14723852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Prussia (by marriage) |
E345883
|
entity |
| Predicate | precedenceInCourt |
P115526
|
FINISHED |
| Object | below Queen consort of Prussia |
—
|
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: below Queen consort of Prussia | Statement: [Princess of Prussia (by marriage), precedenceInCourt, below Queen consort of Prussia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedenceInCourt Context triple: [Princess of Prussia (by marriage), precedenceInCourt, below Queen consort of Prussia]
-
A.
hasCourtPrecedence
Indicates that one court decision or ruling holds authoritative priority over another in legal reasoning or application.
-
B.
decisionCourt
Indicates that a particular court rendered the decision or judgment in a given legal case or proceeding.
-
C.
heldCourtIn
Indicates that an authority or governing body formally conducted judicial or official proceedings in a particular place.
-
D.
heldCourtUnder
Indicates that one authority conducted judicial or ceremonial court proceedings under the jurisdiction, auspices, or authority of another.
-
E.
appearsInCourt
Indicates that an entity is formally present and participating in a legal proceeding before a court.
- F. None of above. chosen
Provenance (4 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25e9a14819081fa06fc601f295d |
completed | April 14, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69de657e174481909da0437556334a04 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716d3aac8190aaa6dc1f099b86e8 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:29 a.m.