Triple
T7680655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycaon |
E173983
|
entity |
| Predicate | distinguishingTailFeature |
P63385
|
FINISHED |
| Object | bushyTailOftenWhiteTipped |
—
|
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: bushyTailOftenWhiteTipped | Statement: [Lycaon, distinguishingTailFeature, bushyTailOftenWhiteTipped]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinguishingTailFeature Context triple: [Lycaon, distinguishingTailFeature, bushyTailOftenWhiteTipped]
-
A.
tailCharacteristic
chosen
Indicates that an entity possesses a particular property, feature, or quality specifically related to its tail.
-
B.
hasTailShape
Indicates that an entity possesses a tail with a specific shape or form.
-
C.
originalTailMarkings
Indicates that an entity possesses or is associated with the initial or native markings found on a tail, prior to any changes or modifications.
-
D.
tailColor
Indicates the color attribute associated specifically with an entity's tail.
-
E.
plumageFeature
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7048b0b448190889bd40e0a38e51a |
completed | March 27, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69c701618d3481908be84b76f36ac5a1 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4:01 p.m.