Triple
T7801692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horsfield's bronze cuckoo |
E180447
|
entity |
| Predicate | eyeStripe |
P51923
|
FINISHED |
| Object | dark eye-stripe |
—
|
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: dark eye-stripe | Statement: [Horsfield's bronze cuckoo, eyeStripe, dark eye-stripe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eyeStripe Context triple: [Horsfield's bronze cuckoo, eyeStripe, dark eye-stripe]
-
A.
yellowStripeRepresents
Indicates that a yellow stripe symbolically stands for or denotes a particular meaning, status, or attribute in a given context.
-
B.
orangeStripeRepresents
Indicates that an orange stripe symbolically stands for, denotes, or conveys the meaning of a particular concept, status, or entity.
-
C.
eyeCharacteristic
chosen
Indicates a relationship where an entity possesses a specific attribute, feature, or quality of its eyes.
-
D.
eyeType
Indicates the specific kind or category of eyes an entity has, such as their form, structure, or visual style.
-
E.
greenStripeRepresents
Indicates that a green stripe symbolically stands for or denotes a particular meaning, status, or attribute in a given context.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:33 p.m.