Triple
T26709466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hylocitrea |
E673371
|
entity |
| Predicate | morphologicalNote |
P74286
|
FINISHED |
| Object | distinct from typical whistlers |
—
|
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: distinct from typical whistlers | Statement: [Hylocitrea, morphologicalNote, distinct from typical whistlers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: morphologicalNote Context triple: [Hylocitrea, morphologicalNote, distinct from typical whistlers]
-
A.
notableMorphology
Indicates that an entity is characterized by a distinctive or noteworthy physical form, structure, or shape.
-
B.
morphologicalRole
Indicates the specific functional role that a morphological element (such as an affix or morpheme) plays within the structure or formation of a word.
-
C.
relatedMorphologicalFeature
Indicates that one entity is connected to another through a shared or corresponding morphological feature or structure.
-
D.
morphologicalClass
Indicates the classification of an entity based on its morphological form or structural pattern.
-
E.
hasMorphologyDistinctFrom
chosen
Indicates that the morphology (form or structure) of one entity is different from that of another 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_69eecda3a22881908f3061c760b9d542 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f617bdc0648190a661f53685a6bb9a |
completed | May 2, 2026, 3:26 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:35 a.m.