Triple
T7575828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Procellariiformes |
E179359
|
entity |
| Predicate | usesStomachOilFor |
P13240
|
FINISHED |
| Object | energy-rich food for chicks |
—
|
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: energy-rich food for chicks | Statement: [Procellariiformes, usesStomachOilFor, energy-rich food for chicks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesStomachOilFor Context triple: [Procellariiformes, usesStomachOilFor, energy-rich food for chicks]
-
A.
stomachType
Indicates the kind or classification of stomach an entity has, typically describing its structural or functional type.
-
B.
hasStomachType
Indicates that an entity possesses or is characterized by a specific type or classification of stomach.
-
C.
usesFood
Indicates that one entity employs or consumes a food item as a resource, ingredient, or means to achieve some purpose.
-
D.
digestiveMethod
Indicates the way or process by which an entity digests or breaks down food or nutrients.
-
E.
oilType
chosen
Indicates the specific kind or classification of oil associated with an 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94b7d5c81909d246845f922d969 |
completed | March 27, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69c6f4de77048190b8769e717fdcf8e7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.