Triple
T5687031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenicopteriformes |
E125337
|
entity |
| Predicate | billMorphology |
P60322
|
FINISHED |
| Object | downward-bent bill |
—
|
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: downward-bent bill | Statement: [Phoenicopteriformes, billMorphology, downward-bent bill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: billMorphology Context triple: [Phoenicopteriformes, billMorphology, downward-bent bill]
-
A.
notableMorphology
Indicates that an entity is characterized by a distinctive or noteworthy physical form, structure, or shape.
-
B.
billType
Indicates the classification or category assigned to a bill (such as its kind, purpose, or procedural type).
-
C.
morphologicalClass
chosen
Indicates the classification of an entity based on its morphological form or structural pattern.
-
D.
modifiesMorphologyOf
Indicates that one entity alters or changes the morphological structure or form of another entity.
-
E.
inflectionOf
Indicates that one linguistic form is an inflected variant of another base or lemma form.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.