Triple
T26834955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regulus ignicapilla |
E675604
|
entity |
| Predicate | distinguishingFeatureFromRegulusRegulus |
P128575
|
FINISHED |
| Object | stronger facial pattern |
—
|
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: stronger facial pattern | Statement: [Regulus ignicapilla, distinguishingFeatureFromRegulusRegulus, stronger facial pattern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinguishingFeatureFromRegulusRegulus Context triple: [Regulus ignicapilla, distinguishingFeatureFromRegulusRegulus, stronger facial pattern]
-
A.
distinguishingTrait
chosen
Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
-
B.
isDistinctiveConstellation
Indicates that a constellation stands out from others due to unique or distinguishing characteristics.
-
C.
rulerSpecies
Indicates that a particular species serves as the ruling or dominant governing group over another entity or domain.
-
D.
يميز
Indicates that one entity distinguishes, differentiates, or sets something apart from something else.
-
E.
regulationCharacteristic
Indicates that one entity specifies, defines, or constrains a particular characteristic or property of another through a rule, standard, or regulatory condition.
- 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_69eee9b776448190993a60b67fcc9545 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:04 a.m.