Triple
T17079387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haserot Angel monument |
E414429
|
entity |
| Predicate | hasPatina |
P88117
|
FINISHED |
| Object | dark patina |
—
|
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: dark patina | Statement: [Haserot Angel monument, hasPatina, dark patina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPatina Context triple: [Haserot Angel monument, hasPatina, dark patina]
-
A.
patinaColor
chosen
Indicates the color that characterizes the surface patina that has formed on an object over time.
-
B.
hasWeathering
Indicates that one entity undergoes or exhibits the process of weathering caused by another entity or environmental factors.
-
C.
hasLuster
Indicates that one entity possesses a shiny, glossy, or reflective surface quality.
-
D.
patinaFunction
Indicates that one entity serves as the functional role or purpose associated with a patina (e.g., what the patina does or is used for) in relation to another entity.
-
E.
hasPitShape
Indicates that an entity possesses or exhibits a particular pit-like shape or form.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe0e9cc8190b6c4b6065b474d1d |
completed | April 18, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69e35d642f74819098c014135e249b27 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.