Triple
T30616768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pikaia |
E779334
|
entity |
| Predicate | likelyDiet |
P112132
|
FINISHED |
| Object | suspension feeder |
—
|
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: suspension feeder | Statement: [Pikaia, likelyDiet, suspension feeder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: likelyDiet Context triple: [Pikaia, likelyDiet, suspension feeder]
-
A.
characterizesDietAs
Indicates that one entity describes, defines, or assigns the type or nature of another entity’s diet.
-
B.
dietaryOptions
Indicates the types of diets or food-related preferences, restrictions, or choices that are applicable to or offered for an entity.
-
C.
eatingHabit
chosen
Indicates a characteristic pattern or regularity in how an entity consumes food, such as what, when, or how it typically eats.
-
D.
hasPositionInDiet
Indicates the relative role or ranking that something occupies within a diet or dietary plan.
-
E.
intendedFood
Indicates that one entity is the food item that another entity plans or is meant to eat or consume.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:26 p.m.