Triple
T35164373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorges Valley |
E1015352
|
entity |
| Predicate | countryProtectedBy |
P203597
|
FINISHED |
| Object | Kenya Wildlife Service |
E200610
|
NE 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: Kenya Wildlife Service | Statement: [Gorges Valley, countryProtectedBy, Kenya Wildlife Service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryProtectedBy Context triple: [Gorges Valley, countryProtectedBy, Kenya Wildlife Service]
-
A.
stateProtectedAreaOf
Indicates that an area is designated and managed as a protected area under the authority of a specific state or subnational government.
-
B.
countryOfProtectedArea
Indicates that a protected natural area is located within and legally belongs to a specific country.
-
C.
countryOfConservationProgram
Indicates the country in which a given conservation program is implemented or officially associated.
-
D.
countryProtectedAreaStatus
Indicates the legal or administrative protection status that a country assigns to a specific area or region.
-
E.
protectedAreaCountry
Indicates that a protected area is located within and legally falls under the jurisdiction of a specific country.
- F. None of above. chosen
Provenance (5 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_69f76ddbfde081908bffc91572368289 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a01b130f6808190b86442fb16930e6e |
completed | May 11, 2026, 10:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37fb11a9c881909eda1c61d60e6f73 |
completed | June 21, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_6a01b023157881909a802e06eced3e2f |
completed | May 11, 2026, 10:32 a.m. |
| PDg | Predicate description generation | batch_6a01b1305154819089d1e443ceaab8c7 |
completed | May 11, 2026, 10:36 a.m. |
Created at: May 3, 2026, 4:02 p.m.