Triple
T28688587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniele |
E729209
|
entity |
| Predicate | semanticMeaningRelatedTo |
P124062
|
FINISHED |
| Object | biblical figure Daniel |
—
|
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: biblical figure Daniel | Statement: [Daniele, semanticMeaningRelatedTo, biblical figure Daniel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: semanticMeaningRelatedTo Context triple: [Daniele, semanticMeaningRelatedTo, biblical figure Daniel]
-
A.
semanticRootMeaning
Indicates the fundamental or core meaning that underlies a word, phrase, or expression in a semantic structure.
-
B.
commonMeaning
Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
-
C.
objectMeaning
chosen
Indicates that one entity represents, expresses, or conveys the meaning or semantic content of another entity.
-
D.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
-
E.
conceptualMeaning
Indicates the abstract idea, concept, or underlying significance that something represents or conveys.
- 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_69f043e60b6c8190ac2cd042e77fe6e9 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65683126481908a06aadfb1ae2f6c |
completed | May 2, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:34 a.m.