Triple
T72409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Animalia |
E1449
|
entity |
| Predicate | nutritionType |
P3602
|
FINISHED |
| Object | ingestive heterotrophy |
—
|
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: ingestive heterotrophy | Statement: [Animalia, nutritionType, ingestive heterotrophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nutritionType Context triple: [Animalia, nutritionType, ingestive heterotrophy]
-
A.
diet
Indicates that an entity regularly consumes a particular type or range of food as its primary source of nutrition.
-
B.
hasDietaryLaw
Indicates that one entity prescribes, follows, or is governed by a specific set of dietary rules or restrictions associated with another entity.
-
C.
typicalFlavor
Indicates that something characteristically has or is associated with a particular flavor.
-
D.
nationalFruit
Indicates that a particular fruit is officially designated as the national fruit of a country or region.
-
E.
nestType
Indicates the type or kind of nest associated with or used by 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f6997c081908b202f937eb2b14f |
completed | Feb. 28, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69a24eab7f408190a8275cb82474f575 |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a24f65170c8190bc541c8351456a4d |
completed | Feb. 28, 2026, 2:13 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.