Triple
T10679767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | silver pencilled Cochin |
E251712
|
entity |
| Predicate | isOftenClassifiedIn |
P14654
|
FINISHED |
| Object | feather-legged class |
—
|
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: feather-legged class | Statement: [silver pencilled Cochin, isOftenClassifiedIn, feather-legged class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenClassifiedIn Context triple: [silver pencilled Cochin, isOftenClassifiedIn, feather-legged class]
-
A.
isSometimesClassifiedAs
chosen
Indicates that an entity is occasionally, but not consistently or universally, categorized under a particular type or class.
-
B.
areClassifiedBy
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
-
C.
isClassifiedUnder
Indicates that one entity is categorized or grouped within a broader class, type, or category represented by another entity.
-
D.
classificationIntroduced
Indicates that one entity has introduced or established a particular classification or categorization for another entity.
-
E.
officialClassificationCount
Indicates the number of official classifications that have been assigned to an entity.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc03dc4819080a6211a2bfaaf0a |
completed | April 9, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:10 p.m.