Triple
T1633549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Predators of the Serengeti |
E35311
|
entity |
| Predicate | immersesVisitorsIn |
P30765
|
FINISHED |
| Object | wildlife of the Serengeti |
—
|
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: wildlife of the Serengeti | Statement: [Predators of the Serengeti, immersesVisitorsIn, wildlife of the Serengeti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: immersesVisitorsIn Context triple: [Predators of the Serengeti, immersesVisitorsIn, wildlife of the Serengeti]
-
A.
visitorCenter
Indicates that a location serves as a visitor center for a place, providing information or services to visitors of that place.
-
B.
hasVisitorCenterBy
Indicates that a location or site is served or administered by a specific visitor center.
-
C.
visitorAttractionSince
Indicates that an entity has served as a visitor attraction starting from a specified point in time.
-
D.
museumFocus
Indicates that a museum is primarily dedicated to or specializes in a particular subject, theme, or type of collection.
-
E.
isMajorAttractionFor
Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
- F. None of above. chosen
Provenance (4 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a96083e7308190abbf025fe8e43abb |
completed | March 5, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69a907cac610819083cafd4396b6d66c |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a9607716b4819092187f8c08daaf31 |
completed | March 5, 2026, 10:52 a.m. |
Created at: March 4, 2026, 7:28 p.m.