Triple
T15056099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafiki's Planet Watch |
E379495
|
entity |
| Predicate | notDirectlyAccessibleFrom |
P13175
|
FINISHED |
| Object | Africa on foot |
—
|
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: Africa on foot | Statement: [Rafiki's Planet Watch, notDirectlyAccessibleFrom, Africa on foot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notDirectlyAccessibleFrom Context triple: [Rafiki's Planet Watch, notDirectlyAccessibleFrom, Africa on foot]
-
A.
notAccessibleBy
chosen
Indicates that one entity cannot be reached, used, or obtained through another specified entity or means.
-
B.
alsoAccessibleFrom
Indicates that a location, resource, or entity can be reached or obtained not only from one specified source or path but from an additional source or path as well.
-
C.
notConstructibleDirectly
Indicates that the entity cannot be instantiated or created directly, typically requiring an alternative or indirect construction method.
-
D.
accessibleWithin
Indicates that one entity can be reached, used, or entered from within the spatial or contextual bounds of another entity.
-
E.
accessibleFrom
Indicates that one entity can be reached, entered, or used starting from another entity, typically without obstruction.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda937f788190899d81bbb2084443 |
completed | April 15, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69deb95a182081908fffc4402b02a394 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:01 a.m.