Triple
T27276626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griphopithecus |
E688210
|
entity |
| Predicate | showsAdaptation |
P162590
|
FINISHED |
| Object | arboreal locomotion |
—
|
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: arboreal locomotion | Statement: [Griphopithecus, showsAdaptation, arboreal locomotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsAdaptation Context triple: [Griphopithecus, showsAdaptation, arboreal locomotion]
-
A.
isAdaptation
Indicates that one work is derived from, based on, or reinterprets the content of another work.
-
B.
hasAdaptationsIn
chosen
Indicates that something possesses or exhibits adaptations within a particular context, environment, or domain.
-
C.
adaptationIncludes
Indicates that an adaptation incorporates, contains, or makes use of a particular component, element, or feature as part of its adapted form.
-
D.
adaptedAs
Indicates that one work, concept, or entity has been transformed or re-created into another form or medium based on the original.
-
E.
mediaAdaptationSettingOf
Indicates that a media adaptation (such as a film, series, or game) is set in the narrative world or environment of a particular original work.
- 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_69ef3558cf8881909595ef89daf6e14a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 11:03 a.m.