Triple
T37736779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joshu’s Mu |
E940297
|
entity |
| Predicate | meaningOfMu |
P124062
|
FINISHED |
| Object | No |
—
|
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: No | Statement: [Joshu’s Mu, meaningOfMu, No]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningOfMu Context triple: [Joshu’s Mu, meaningOfMu, No]
-
A.
meaningOfItmad
Indicates that one entity represents the meaning, interpretation, or semantic content of another entity referred to as "itmad."
-
B.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
-
C.
objectMeaning
chosen
Indicates that one entity represents, expresses, or conveys the meaning or semantic content of another entity.
-
D.
meaningOfWord3
Indicates that one entity specifies or defines the sense or interpretation of a third word or term.
-
E.
meaningIsRelatedTo
Indicates that one concept has a semantic or contextual connection to another concept without specifying the exact nature of that relationship.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.