Triple
T24168089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaqatala State Reserve |
E599048
|
entity |
| Predicate | hasFaunaRegion |
P9687
|
FINISHED |
| Object | Caucasus |
—
|
NE NERFINISHED |
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: Caucasus | Statement: [Zaqatala State Reserve, hasFaunaRegion, Caucasus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFaunaRegion Context triple: [Zaqatala State Reserve, hasFaunaRegion, Caucasus]
-
A.
hasFaunaGroup
Indicates that an entity possesses, contains, or is associated with a particular group or assemblage of animal life.
-
B.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
C.
naturalRegionOf
Indicates that one entity is the natural geographic region or area in which the other entity is located or to which it belongs.
-
D.
hasFloristicRegion
Indicates that an entity is located in, associated with, or belongs to a particular floristic (plant-distribution) region.
-
E.
foundInRegion
chosen
Indicates that something is located within, occurs in, or is associated with a specific geographic or spatial region.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:33 p.m.