Triple
T33266569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Face |
E851661
|
entity |
| Predicate | hasAssociatedSymbolType |
P128043
|
FINISHED |
| Object | icon |
—
|
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: icon | Statement: [Happy Face, hasAssociatedSymbolType, icon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociatedSymbolType Context triple: [Happy Face, hasAssociatedSymbolType, icon]
-
A.
hasAssociatedType
chosen
Indicates that one entity is linked to another entity that specifies its type, category, or classification.
-
B.
hasSymbolFor
Indicates that one entity serves as the symbolic representation or sign for another entity.
-
C.
hasSymbolicRelationshipType
Indicates that there exists a symbolic (non-literal) relationship of a specified type between two entities.
-
D.
hasRelationSymbol
Indicates that there exists a specific relational operator or symbol used to denote the relationship between entities.
-
E.
isRelatedSymbol
Indicates that one symbol has a defined relationship or association with another symbol, such as similarity, correspondence, or functional connection.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 1, 2026, 1:32 a.m.