Triple
T26834931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regulus ignicapilla |
E675604
|
entity |
| Predicate | wingLength |
P161526
|
FINISHED |
| Object | approximately 5 to 6 centimeters |
—
|
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: approximately 5 to 6 centimeters | Statement: [Regulus ignicapilla, wingLength, approximately 5 to 6 centimeters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingLength Context triple: [Regulus ignicapilla, wingLength, approximately 5 to 6 centimeters]
-
A.
wingspan
Indicates the distance from the tip of one wing to the tip of the other wing when fully extended.
-
B.
wingSpanVariant
Indicates a relationship where one wing span measurement is a variant or alternative form of another wing span measurement.
-
C.
typeOfWing
Indicates the specific kind or category of wing that an entity possesses or is associated with.
-
D.
wingCount
Indicates the number of wings an entity possesses.
-
E.
billLength
Indicates the length measurement of a bill or beak as a characteristic of an entity.
- 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_69eee9b776448190993a60b67fcc9545 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61adfa2c48190b9ac02679c1d0e5d |
completed | May 2, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6142a0b988190b404d078f73c3cb9 |
completed | May 2, 2026, 3:11 p.m. |
Created at: April 27, 2026, 5:04 a.m.