Triple
T410046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Supreme Court |
E9467
|
entity |
| Predicate | isConfusinglyNamedBecause |
P2289
|
FINISHED |
| Object | despite its name it is not the state’s court of last resort |
—
|
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: despite its name it is not the state’s court of last resort | Statement: [New York Supreme Court, isConfusinglyNamedBecause, despite its name it is not the state’s court of last resort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConfusinglyNamedBecause Context triple: [New York Supreme Court, isConfusinglyNamedBecause, despite its name it is not the state’s court of last resort]
-
A.
oftenConfusedWith
chosen
Indicates that one entity is frequently mistaken for or thought to be another due to similarity or ambiguity.
-
B.
isAbout
Indicates that one entity has as its subject, focus, or primary concern the content, topic, or theme represented by another entity.
-
C.
isMostly
Indicates that one entity constitutes the greater part or majority of another entity in amount, extent, or composition.
-
D.
is
Indicates that two entities are equivalent, share an attribute, or stand in a specified state or relation to each other.
-
E.
isSoft
Indicates that one entity has a soft or yielding texture or consistency when touched or pressed.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ed31681c8190ac32334562fb17fd |
completed | Feb. 28, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_69a2e9737694819080fde9adcc1aa4d4 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.