Triple
T13363400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Migration |
E318874
|
entity |
| Predicate | predatorInteraction |
P8767
|
FINISHED |
| Object | lion predation |
—
|
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: lion predation | Statement: [Great Migration, predatorInteraction, lion predation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predatorInteraction Context triple: [Great Migration, predatorInteraction, lion predation]
-
A.
predators
Indicates a relationship where one organism hunts, kills, and consumes another organism as a food source.
-
B.
preysOn
chosen
Indicates that one entity hunts, kills, and consumes another entity as a food source.
-
C.
interactionWithOtherSpecies
Indicates a relationship where an entity engages in some form of contact, influence, or exchange with members of a different species.
-
D.
apexPredatorIn
Indicates that an entity is the top predator within a specified environment, ecosystem, or location, facing no regular natural predators there.
-
E.
wildlifeInteractionType
Indicates the type or nature of interaction occurring between wildlife and another entity (such as humans, other animals, or the environment).
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628affd081909f1790d333f0eef4 |
completed | April 11, 2026, 3:02 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:32 p.m.