Triple
T1955190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rockingham Whig |
E42250
|
entity |
| Predicate | formedAround |
P14056
|
FINISHED |
| Object | 1760s |
—
|
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: 1760s | Statement: [Rockingham Whig, formedAround, 1760s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formedAround Context triple: [Rockingham Whig, formedAround, 1760s]
-
A.
formedBy
Indicates that something comes into existence or is created as a result of a specific agent, process, or combination of components.
-
B.
around
Indicates that one entity is located or moves on all or most sides of another entity, encircling or surrounding it spatially.
-
C.
createdAround
chosen
Indicates that something was brought into existence or produced approximately at a particular time or within an imprecise time period.
-
D.
surrounds
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
-
E.
formed
Indicates that one entity came into existence, shape, or organization as a result of the actions or processes involving another entity.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb353aa8c81909810347f9981a02f |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff3eda88190b643994cb4dfb8df |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.