Triple
T36702790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brachyrhaphis roseni |
E906273
|
entity |
| Predicate | nativeHabitatRegion |
P103885
|
FINISHED |
| Object | Neotropical region |
—
|
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: Neotropical region | Statement: [Brachyrhaphis roseni, nativeHabitatRegion, Neotropical region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nativeHabitatRegion Context triple: [Brachyrhaphis roseni, nativeHabitatRegion, Neotropical region]
-
A.
naturalRegionOf
Indicates that one entity is the natural geographic region or area in which the other entity is located or to which it belongs.
-
B.
regionOfAdaptation
Indicates the geographic or environmental region to which an entity is specifically adapted.
-
C.
onlyNaturalHabitatOf
Indicates that a given location is the sole natural habitat where a particular species or organism occurs in the wild.
-
D.
naturalRegionType
Indicates the type or category of natural region to which a given area or place belongs.
-
E.
biogeographicZone
chosen
Indicates the biogeographic region or ecological zone in which an entity (such as a species or habitat) naturally occurs or is distributed.
- 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.