Triple
T26013235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serranía de la Macarena |
E646955
|
entity |
| Predicate | faunaRegion |
P91594
|
FINISHED |
| Object | Orinoco fauna |
—
|
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: Orinoco fauna | Statement: [Serranía de la Macarena, faunaRegion, Orinoco fauna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: faunaRegion Context triple: [Serranía de la Macarena, faunaRegion, Orinoco fauna]
-
A.
notableFaunaRegion
chosen
Indicates that a region is known for or characteristically associated with particular notable animal species.
-
B.
zoogeographicRegion
Indicates the zoogeographic region in which an organism or taxon naturally occurs or is distributed.
-
C.
faunaOrigin
Indicates the place or source from which an animal species or population originates.
-
D.
naturalRegionOf
Indicates that one entity is the natural geographic region or area in which the other entity is located or to which it belongs.
-
E.
zoogeographicKingdom
Indicates the broad zoogeographic realm or kingdom within which an organism’s natural distribution primarily falls.
- 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60c698ae48190871cd445422bad91 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 22, 2026, 9:02 a.m.