Triple
T4050642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resplendent quetzal |
E84175
|
entity |
| Predicate | tailLengthMale |
P52997
|
FINISHED |
| Object | up to about 65 centimeters for upper tail coverts |
—
|
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: up to about 65 centimeters for upper tail coverts | Statement: [Resplendent quetzal, tailLengthMale, up to about 65 centimeters for upper tail coverts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tailLengthMale Context triple: [Resplendent quetzal, tailLengthMale, up to about 65 centimeters for upper tail coverts]
-
A.
maleLength
Indicates that the relationship specifies the length or size measurement of a male individual or male part of an entity.
-
B.
maximumMaleBodyLength
Indicates the greatest recorded body length measured for male individuals of a given entity or species.
-
C.
averageBodyLengthMale
Indicates the typical or mean body length measured specifically for male individuals of a species or group.
-
D.
hasTailLengthRange
Indicates that an entity is associated with a specified minimum and maximum length for its tail.
-
E.
maximumFemaleBodyLength
Indicates the greatest recorded length of the body for female individuals of a given entity or group.
- F. None of above. chosen
Provenance (4 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb8413848190992e4b5f3b29b43c |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef90249e4819095e9e043bc4aa9a6 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9fcb31c819098d5287b6fc84f4e |
completed | March 9, 2026, 4:49 p.m. |
Created at: March 9, 2026, 3:37 p.m.