Triple
T27505513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tchagra |
E694266
|
entity |
| Predicate | hasFeatherColorPattern |
P95275
|
FINISHED |
| Object | contrasting head stripes |
—
|
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: contrasting head stripes | Statement: [Tchagra, hasFeatherColorPattern, contrasting head stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFeatherColorPattern Context triple: [Tchagra, hasFeatherColorPattern, contrasting head stripes]
-
A.
plumageMarkingsColor
chosen
Indicates the color of the markings or patterns present on an entity's plumage.
-
B.
plumageFeature
Indicates a relationship where a specific characteristic or attribute is associated with an entity’s plumage (feathers).
-
C.
hasPrimaryPlumageColor
Indicates that an entity’s main or most dominant plumage (feather) color is a specified color.
-
D.
colorationTrait
Indicates a relationship where an entity possesses or is characterized by a specific coloration-related trait.
-
E.
maneAndTailColor
Indicates that two entities are related by one having a mane and tail of the specified color.
- 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_69ef538370888190b1ddf53bb4831188 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 1:13 p.m.