Triple
T6413175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flamingo (Chicago sculpture) |
E127757
|
entity |
| Predicate | hasSurfaceFinish |
P60649
|
FINISHED |
| Object | painted |
—
|
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: painted | Statement: [Flamingo (Chicago sculpture), hasSurfaceFinish, painted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurfaceFinish Context triple: [Flamingo (Chicago sculpture), hasSurfaceFinish, painted]
-
A.
hasSurfaceQuality
chosen
Indicates that one entity possesses a particular characteristic or condition of its surface.
-
B.
surfaceQuality
Indicates the condition or characteristics of an entity’s outer surface, such as its smoothness, roughness, or finish.
-
C.
hasSurfaceComposition
Indicates that one entity has a surface made up of, or characterized by, the material or composition specified by another entity.
-
D.
decorativeFinish
Indicates that one entity serves as an ornamental or aesthetic surface treatment applied to another entity.
-
E.
typicalFinish
Indicates that an action, process, or event commonly or characteristically ends with a particular outcome or state.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068e5187c8190a6be1b934e0f1b3a |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f5d4e481909d1366190607b586 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:42 p.m.