Triple
T5915347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Prussian language |
E131565
|
entity |
| Predicate | hasApproximateNumberOfAttestedWords |
P67671
|
FINISHED |
| Object | about 800 |
—
|
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: about 800 | Statement: [Old Prussian language, hasApproximateNumberOfAttestedWords, about 800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateNumberOfAttestedWords Context triple: [Old Prussian language, hasApproximateNumberOfAttestedWords, about 800]
-
A.
hasApproximateNumberOfLetters
Indicates that an entity is associated with a number that roughly, but not exactly, corresponds to the count of letters it contains.
-
B.
hasApproximateNumberOfLanguages
Indicates that an entity is associated with a quantity representing an estimated or non-exact count of languages.
-
C.
degreeOfAttestation
Indicates the extent or level to which something (such as a claim, form, or document) is supported, verified, or confirmed by evidence or authoritative sources.
-
D.
alsoAttestedIn
Indicates that the same item, fact, or phenomenon is recorded or evidenced in another source, context, or location as well.
-
E.
hasProofCount
Indicates the number of proofs or supporting evidential items associated with a given entity or claim.
- F. None of above. chosen
Provenance (4 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
| PDg | Predicate description generation | batch_69c048fb02a081908e78629e1e283cd0 |
completed | March 22, 2026, 7:54 p.m. |
Created at: March 22, 2026, 3:59 p.m.