Triple
T24517791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | crescent nail-tail wallaby |
E606421
|
entity |
| Predicate | shoulderMarking |
P32310
|
FINISHED |
| Object | pale crescent-shaped band |
—
|
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: pale crescent-shaped band | Statement: [crescent nail-tail wallaby, shoulderMarking, pale crescent-shaped band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shoulderMarking Context triple: [crescent nail-tail wallaby, shoulderMarking, pale crescent-shaped band]
-
A.
armorMarkings
Indicates that one entity bears specific markings, patterns, or insignia on its armor in relation to another entity or context.
-
B.
typicalShoulderLine
Indicates that one entity has a shoulder line that is characteristic or standard for the type, style, or category represented by the other entity.
-
C.
markingFeature
Indicates a feature that serves as a distinguishing mark or identifier associated with an entity.
-
D.
distinctiveMarking
chosen
Indicates that one entity bears a unique or distinguishing visual feature or pattern that sets it apart from others.
-
E.
gravesMarking
Indicates that certain graves serve as markers or indicators for specific individuals, events, or locations.
- 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_69e2c4c85778819085f5da9af3569ad5 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:24 a.m.