Triple
T10079095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matoury |
E213851
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Mahury River |
E902555
|
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: Mahury River | Statement: [Matoury, hasRiver, Mahury River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahury River Context triple: [Matoury, hasRiver, Mahury River]
-
A.
Mahury River
chosen
The Mahury River is a major waterway in French Guiana that flows into the Atlantic Ocean near the capital city of Cayenne.
-
B.
Mutirikwi River
Mutirikwi River is a river in southeastern Zimbabwe that flows near the ancient stone city of Great Zimbabwe and feeds Lake Mutirikwi.
-
C.
Oinountas River
The Oinountas River is a tributary watercourse in the Peloponnese region of southern Greece that feeds into the larger Eurotas River system.
-
D.
Potengi River
The Potengi River is a significant waterway in northeastern Brazil that flows through the city of Natal and empties into the Atlantic Ocean.
-
E.
Kuvam River
Kuvam River is an alternative name for the Cooum River, a short but historically significant river flowing through the city of Chennai in the Indian state of Tamil Nadu.
- 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_69ca839bf730819086900c323c9b8c95 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd030a0fc819084b523e8e63636fa |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c5a9dc881909b695f7e87dfcdf6 |
completed | May 2, 2026, 10:36 p.m. |
Created at: March 30, 2026, 9 p.m.