Triple
T27529128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punxsutawney Phil |
E694918
|
entity |
| Predicate | scientificAccuracy |
P62233
|
FINISHED |
| Object | considered low by meteorologists |
—
|
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: considered low by meteorologists | Statement: [Punxsutawney Phil, scientificAccuracy, considered low by meteorologists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scientificAccuracy Context triple: [Punxsutawney Phil, scientificAccuracy, considered low by meteorologists]
-
A.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
-
B.
curacy
Indicates that one entity serves in the role or position of a curate (assistant clergy) in relation to another entity, typically a parish or church.
-
C.
scientificAuthority
Indicates that one entity is recognized as an expert or authoritative source in scientific matters relative to another entity or context.
-
D.
scientificElement
Indicates that one entity is a scientific component, factor, or aspect that plays a role within, or contributes to, the other entity in a scientific context.
-
E.
hasAccuracy
chosen
Indicates that something possesses a specified level or measure of correctness, precision, or exactness in relation to a standard or reference.
- 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 1:25 p.m.