Triple
T21872999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schindleria praematurus |
E540054
|
entity |
| Predicate | bodyLengthTypical |
P18065
|
FINISHED |
| Object | around 1 centimeter |
—
|
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: around 1 centimeter | Statement: [Schindleria praematurus, bodyLengthTypical, around 1 centimeter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyLengthTypical Context triple: [Schindleria praematurus, bodyLengthTypical, around 1 centimeter]
-
A.
typicalLength
chosen
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
B.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
C.
bodyLengthAdult
Indicates the measured length of an entity’s body in its adult life stage.
-
D.
bodyLengthMin
Indicates the minimum recorded or required length of a body in a given measurement context.
-
E.
typicalDimension
Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f337ab5c8190937a457d348c732b |
completed | April 28, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:01 p.m.