Triple
T26575986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | face of the Sun of May |
E666948
|
entity |
| Predicate | locatedInSymbol |
P40
|
FINISHED |
| Object | flag of Argentina |
—
|
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: flag of Argentina | Statement: [face of the Sun of May, locatedInSymbol, flag of Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInSymbol Context triple: [face of the Sun of May, locatedInSymbol, flag of Argentina]
-
A.
locatedInSymbolicContext
Indicates that one entity is situated within or associated with another entity in an abstract, conceptual, or symbolic context rather than a strictly physical one.
-
B.
hasSymbolLocation
Indicates that a symbol is associated with or positioned at a specific location.
-
C.
locatedIn
chosen
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
D.
derivativeLocatedIn
Indicates that something derived from or produced by an entity is located within or associated with a particular place or larger entity.
-
E.
locationSymbolic
Indicates a symbolic or abstract locational relationship between entities, where one is associated with a place or position in a non-literal, representational, or conceptual sense.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: April 27, 2026, 2 a.m.