Triple
T13593308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chipinge |
E324746
|
entity |
| Predicate | nearbyFeature |
P2064
|
FINISHED |
| Object | Save River |
E324747
|
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: Save River | Statement: [Chipinge, nearbyFeature, Save River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Save River Context triple: [Chipinge, nearbyFeature, Save River]
-
A.
Save River
chosen
The Save River is a major waterway in southeastern Africa that flows through Zimbabwe and Mozambique before emptying into the Indian Ocean.
-
B.
Every River
"Every River" is a song by the Scottish Celtic rock band Runrig, known for its emotive melody and themes of longing and connection.
-
C.
Keep River
The Keep River is a river in the Northern Territory of Australia that flows through remote, sparsely populated landscapes before reaching the Joseph Bonaparte Gulf.
-
D.
Exploits River
Exploits River is a major river in central Newfoundland, Canada, known for its salmon runs and historical importance to regional settlement and industry.
-
E.
Dam That River
"Dam That River" is a heavy, groove-driven track by the American grunge band Alice in Chains, featured on their influential 1992 album *Dirt*.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb057f1c881909a3bb77c659a724a |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc578908190abd5cca94b1c3a5c |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.