Triple
T9774211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guttera edouardi |
E237205
|
entity |
| Predicate | hasCrestType |
P90566
|
FINISHED |
| Object | curled feathers |
—
|
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: curled feathers | Statement: [Guttera edouardi, hasCrestType, curled feathers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrestType Context triple: [Guttera edouardi, hasCrestType, curled feathers]
-
A.
hasTypeOfInsignia
Indicates that an entity bears or is associated with a specific kind or category of insignia.
-
B.
crownType
Indicates the specific style or form of a crown associated with an entity.
-
C.
hasCoronet
Indicates that an entity possesses or is adorned with a coronet (a small crown).
-
D.
hasCrownGroup
Indicates that an entity belongs to, or is classified within, the crown group (the clade consisting of a common ancestor and all its living descendants) of another specified lineage or taxonomic group.
-
E.
hasPennantType
Indicates that an entity is associated with a specific type or category of pennant.
- F. None of above. chosen
Provenance (4 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f6b8348190bd05b94519de9bc9 |
completed | April 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd06aa8bc88190904be19c8953def8 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:26 p.m.