Triple
T479984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Received Pronunciation |
E9145
|
entity |
| Predicate | firstDescribedAsTerm |
P3921
|
FINISHED |
| Object | early 20th century |
—
|
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: early 20th century | Statement: [Received Pronunciation, firstDescribedAsTerm, early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstDescribedAsTerm Context triple: [Received Pronunciation, firstDescribedAsTerm, early 20th century]
-
A.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
B.
firstClearlyAttestedIn
chosen
Indicates the earliest known point in time or source where something is clearly documented or evidenced.
-
C.
firstUsedFor
Indicates that one entity was the earliest or original thing for which another entity was used or applied.
-
D.
firstAnnouncedBy
Indicates that one entity is the original source or originator that publicly disclosed, reported, or made known another entity or item for the first time.
-
E.
firstDemonstrated
Indicates that one entity was the earliest to show, prove, or exemplify a particular concept, method, or capability in relation to another entity or context.
- 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_69a2e7ff81708190b0507a24a997232c |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f057c4ac819080cf43ffaa56c350 |
completed | Feb. 28, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69a2edf1d5848190a7da27e2fddc136f |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.