Triple
T8283491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anastas |
E193735
|
entity |
| Predicate | hasNotableUsagePeriod |
P64171
|
FINISHED |
| Object | 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: 20th century | Statement: [Anastas, hasNotableUsagePeriod, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableUsagePeriod Context triple: [Anastas, hasNotableUsagePeriod, 20th century]
-
A.
hasHistoricalUsageIn
chosen
Indicates that something has been used or practiced within a particular historical period, context, or tradition.
-
B.
areUsedSince
Indicates that entities have been in use continuously starting from a specified point in time.
-
C.
hasHumanUse
Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
-
D.
hasNotableMetric
Indicates that an entity is associated with a specific metric or measurement that is considered significant or noteworthy in its context.
-
E.
hasFormerUse
Indicates that something previously served a particular function or role that it no longer has.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7aceec8881909cdfa488dfedc0f5 |
completed | March 31, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69cb70ad9fc081908741f8c4a4141edf |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:52 p.m.