Triple
T14312443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the Governor of Pennsylvania |
E354865
|
entity |
| Predicate | nextHigherLevel |
P3584
|
FINISHED |
| Object | no higher state executive office |
—
|
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: no higher state executive office | Statement: [Office of the Governor of Pennsylvania, nextHigherLevel, no higher state executive office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nextHigherLevel Context triple: [Office of the Governor of Pennsylvania, nextHigherLevel, no higher state executive office]
-
A.
nextHigherRank
chosen
Indicates that one entity holds the immediately superior rank or level in a hierarchy relative to another entity.
-
B.
nextSingle
Indicates that one entity is the immediately following single item in a sequence or ordered set relative to another entity.
-
C.
upperCourseOf
Indicates that one watercourse represents the upstream or higher-elevation segment of another watercourse within the same river system.
-
D.
upperLevelConnects
Indicates a connection where one entity links to or interfaces with another at a higher or superior level in a hierarchy or structure.
-
E.
followsLevel
Indicates that one entity comes after or succeeds another in a defined sequence, stage, or hierarchical level.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b386d0819087d14f3ce84a1997 |
completed | April 14, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a8f81f08190af737e1654847aa6 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.