Triple
T19344284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serengeti Crossing |
E483832
|
entity |
| Predicate | animalHabitatType |
P30763
|
FINISHED |
| Object | outdoor exhibit |
—
|
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: outdoor exhibit | Statement: [Serengeti Crossing, animalHabitatType, outdoor exhibit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalHabitatType Context triple: [Serengeti Crossing, animalHabitatType, outdoor exhibit]
-
A.
onlyNaturalHabitatOf
Indicates that a given location is the sole natural habitat where a particular species or organism occurs in the wild.
-
B.
simulatesHabitatOf
chosen
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
C.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
D.
hasTerrestrialHabitat
Indicates that an entity lives primarily on land or in a ground-based environment rather than in aquatic or aerial habitats.
-
E.
speciesHome
Indicates that a particular location serves as the natural habitat or primary living environment for a given species.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e618598dc08190a723398dd6fe551d |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:34 p.m.