Triple
T25905498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monkey Island |
E652739
|
entity |
| Predicate | hasAnimalPopulationType |
P30476
|
FINISHED |
| Object | free-ranging rhesus macaques |
—
|
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: free-ranging rhesus macaques | Statement: [Monkey Island, hasAnimalPopulationType, free-ranging rhesus macaques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnimalPopulationType Context triple: [Monkey Island, hasAnimalPopulationType, free-ranging rhesus macaques]
-
A.
hasPopulationType
Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
-
B.
hasWildPopulationOf
chosen
Indicates that a location or area contains a naturally occurring, non-captive population of the specified species.
-
C.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
D.
hasWildPopulation
Indicates that an entity has a population existing in natural, non-captive conditions in the wild.
-
E.
typeOfLivestock
Indicates the specific kind or category of livestock associated with or involved in a given context 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_69e7ab3d3f8481909bc53ed64c06af33 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 22, 2026, 8:27 a.m.