Triple
T5305228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolina wren |
E120084
|
entity |
| Predicate | tailCharacteristic |
P63385
|
FINISHED |
| Object | often held upright |
—
|
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: often held upright | Statement: [Carolina wren, tailCharacteristic, often held upright]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tailCharacteristic Context triple: [Carolina wren, tailCharacteristic, often held upright]
-
A.
hasTailShape
Indicates that an entity possesses a tail with a specific shape or form.
-
B.
tailColor
Indicates the color attribute associated specifically with an entity's tail.
-
C.
legCharacteristic
Indicates a characteristic, property, or attribute that specifically pertains to the legs of an entity.
-
D.
neckCharacteristic
Indicates that an entity has a specific attribute, feature, or quality related to its neck.
-
E.
trunkCharacteristic
Indicates a relationship where a specific characteristic or property is attributed to a trunk (such as that of a tree or similar object).
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84534f9c8190bc19d4812060768d |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd86f0cbfc8190b6665dd9b28d6345 |
completed | March 20, 2026, 5:42 p.m. |
Created at: March 20, 2026, 1:53 p.m.