Triple
T20069193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dependency grammar |
E499688
|
entity |
| Predicate | representsStructureAs |
P72867
|
FINISHED |
| Object | tree of dependencies |
—
|
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: tree of dependencies | Statement: [dependency grammar, representsStructureAs, tree of dependencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsStructureAs Context triple: [dependency grammar, representsStructureAs, tree of dependencies]
-
A.
representsAs
chosen
Indicates that one entity serves as a depiction, symbol, or stand-in for another entity in some representational context.
-
B.
definesStructure
Indicates that one entity specifies or determines the organizational form, composition, or arrangement of another entity.
-
C.
producesStructure
Indicates that one entity generates, forms, or creates a physical or conceptual structure as a result of its action or function.
-
D.
encodingStructure
Indicates the structural scheme or format used to encode information or data.
-
E.
convertedStructure
Indicates that one structure has been transformed or converted into another structure.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664365ad0819089103b00d1cf8c9f |
completed | April 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69e54cee7a5c819084ae4ff26419833f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:39 p.m.