Triple
T23693013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parangolés |
E585354
|
entity |
| Predicate | typicalColorFeature |
P38941
|
FINISHED |
| Object | vivid colors |
—
|
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: vivid colors | Statement: [Parangolés, typicalColorFeature, vivid colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalColorFeature Context triple: [Parangolés, typicalColorFeature, vivid colors]
-
A.
typicalColorDescription
chosen
Indicates the usual or characteristic color associated with an entity.
-
B.
uniformColorFeature
Indicates that the related entities share or exhibit the same uniform color characteristic.
-
C.
colorFieldCharacteristic
Indicates that a field or attribute is characterized or distinguished by a specific color.
-
D.
notableColor
Indicates that an entity is characteristically or prominently associated with a particular color.
-
E.
typicalFeatures
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
- 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b5c3a8fc81909bd4da2f360d3af6 |
completed | April 29, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:52 p.m.