Triple
T36015137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chyulu Hills aquifer |
E1041816
|
entity |
| Predicate | feedsSpring |
P184333
|
FINISHED |
| Object | Mzima Springs |
—
|
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: Mzima Springs | Statement: [Chyulu Hills aquifer, feedsSpring, Mzima Springs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feedsSpring Context triple: [Chyulu Hills aquifer, feedsSpring, Mzima Springs]
-
A.
feedsAccelerator
Indicates that one entity supplies or directs input, resources, or power into an accelerator system for its operation.
-
B.
feedsOn
Indicates that one entity obtains nourishment by consuming another entity as food.
-
C.
feedSystem
Indicates that one entity supplies or provides input, resources, or data into another entity or system for its operation or processing.
-
D.
feedsViaAqueduct
Indicates that something supplies or channels a resource (typically water) to another thing through an aqueduct.
-
E.
feedsAt
Indicates that one entity obtains or consumes food at, from, or using another entity (such as a location, source, or feeding apparatus).
- 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_69f76e2b981881908e4e160607fa82eb |
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.