Triple
T10640146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arapaima gigas |
E250697
|
entity |
| Predicate | scaleProperty |
P95120
|
FINISHED |
| Object | scales are tough and armor-like |
—
|
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: scales are tough and armor-like | Statement: [Arapaima gigas, scaleProperty, scales are tough and armor-like]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleProperty Context triple: [Arapaima gigas, scaleProperty, scales are tough and armor-like]
-
A.
scalingProperty
Indicates how a quantity or behavior changes in proportion to changes in another variable, typically under resizing or rescaling conditions.
-
B.
scaleDefinition
Indicates that an entity specifies the parameters, structure, or measurement system used to define a particular scale.
-
C.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
-
D.
scalePosition
Indicates the relative location or index of an element within a defined scale or ordered measurement framework.
-
E.
similarScaleTo
Indicates that two entities have comparable magnitude, size, or extent along a given dimension or measurement scale.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcbe5308190986bba438d19e852 |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:04 p.m.