Triple
T29116099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Elgon National Park (Kenya) |
E737048
|
entity |
| Predicate | sharesMountainWith |
P56679
|
FINISHED |
| Object | Uganda |
—
|
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: Uganda | Statement: [Mount Elgon National Park (Kenya), sharesMountainWith, Uganda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesMountainWith Context triple: [Mount Elgon National Park (Kenya), sharesMountainWith, Uganda]
-
A.
sharesMount
Indicates that two or more entities are attached to, use, or are positioned on the same mounting structure or support.
-
B.
shareMountainRange
chosen
Indicates that two geographic entities are located within or along the same mountain range.
-
C.
sharesWith
Indicates that one entity gives another entity access to or use of something it possesses.
-
D.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
E.
sharesIn
Indicates that one entity holds or possesses shares or ownership stakes in another entity.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
Created at: April 28, 2026, 11:22 a.m.