Triple
T8592539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dala horse |
E203463
|
entity |
| Predicate | isCarved |
P48945
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Dala horse, isCarved, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCarved Context triple: [Dala horse, isCarved, true]
-
A.
hasCarving
Indicates that one entity features or contains a carved design, inscription, or sculpted detail that is associated with or applied to another entity.
-
B.
carvedInto
Indicates that one entity has been shaped, cut, or sculpted so that it takes the form or likeness of another entity.
-
C.
hasCarvings
chosen
Indicates that one entity features or contains carved designs or engravings on its surface, created by another entity or process.
-
D.
hasCarvingType
Indicates that one entity is associated with a specific type or style of carving applied to it.
-
E.
carvedThrough
Indicates that one entity has cut or worn a path through another entity, typically by force, motion, or gradual erosion.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:23 p.m.