Triple
T36008983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rolling Plains |
E1041349
|
entity |
| Predicate | ecoregionDesignation |
P184328
|
FINISHED |
| Object | Texas Parks and Wildlife Rolling Plains ecoregion |
—
|
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: Texas Parks and Wildlife Rolling Plains ecoregion | Statement: [Rolling Plains, ecoregionDesignation, Texas Parks and Wildlife Rolling Plains ecoregion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ecoregionDesignation Context triple: [Rolling Plains, ecoregionDesignation, Texas Parks and Wildlife Rolling Plains ecoregion]
-
A.
ecoregion
Indicates that one entity is located within, associated with, or belongs to the same ecological region as another entity.
-
B.
ecoregionsInclude
Indicates that one ecoregion spatially contains or encompasses another ecoregion or area within its boundaries.
-
C.
ecoregionCode
Indicates the specific ecological region identifier associated with an entity, linking it to a defined environmental or biogeographic zone.
-
D.
ecoregionName
Indicates the specific named ecoregion to which an entity or location belongs.
-
E.
biodiversityHotspotDesignationBy
Indicates that a particular agent or authority is responsible for designating an area as a biodiversity hotspot.
- F. None of above. chosen
Provenance (4 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ad15f3b88190b7c9742a734fec5f |
completed | May 3, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7acad20388190b9b10270ca9bdfbc |
completed | May 3, 2026, 8:14 p.m. |
Created at: May 3, 2026, 4:07 p.m.