Triple
T8913646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chlorophanes spiza |
E212243
|
entity |
| Predicate | maleMarkings |
P78622
|
FINISHED |
| Object | black head |
—
|
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: black head | Statement: [Chlorophanes spiza, maleMarkings, black head]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleMarkings Context triple: [Chlorophanes spiza, maleMarkings, black head]
-
A.
eggMarkings
Indicates that one entity bears or displays specific markings or patterns on its eggs in relation to another entity or context.
-
B.
maleFeature
chosen
Indicates that the subject possesses a characteristic or attribute typically associated with males.
-
C.
malePlumage
Indicates that the specified plumage belongs to or characterizes the male individual of a species.
-
D.
maleLength
Indicates that the relationship specifies the length or size measurement of a male individual or male part of an entity.
-
E.
malesOftenHave
Indicates that male entities frequently possess, exhibit, or are associated with the specified attribute or characteristic.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc65276b788190ab76372d0d871fef |
completed | April 1, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:56 p.m.