Triple
T7680662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lycaon |
E173983
|
entity |
| Predicate | habitatOfSpecies |
P22357
|
FINISHED |
| Object | savanna |
—
|
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: savanna | Statement: [Lycaon, habitatOfSpecies, savanna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: habitatOfSpecies Context triple: [Lycaon, habitatOfSpecies, savanna]
-
A.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
B.
featuresHabitat
chosen
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
C.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
D.
containsSpeciesWithHabitat
Indicates that an entity includes one or more species that are associated with a particular habitat.
-
E.
hostSpecies
Indicates the species that serves as the host for another organism, agent, or 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7048b0b448190889bd40e0a38e51a |
completed | March 27, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69c701618d3481908be84b76f36ac5a1 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 4:01 p.m.