Triple
T723299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lima Region |
E14664
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object | Rímac River |
E20286
|
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: Rímac River | Statement: [Lima Region, containsRiver, Rímac River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rímac River Context triple: [Lima Region, containsRiver, Rímac River]
-
A.
Rímac River
chosen
The Rímac River is a major waterway in central Peru that flows from the Andes through the city of Lima to the Pacific Ocean, serving as a crucial source of water for the capital region.
-
B.
Curaray River
The Curaray River is a remote waterway in the Amazon Basin of Ecuador and Peru, known for its dense rainforest surroundings and historical significance in missionary and indigenous encounters.
-
C.
Huancané River
The Huancané River is a river in the Andean region of Peru that serves as one of the tributaries feeding Lake Titicaca.
-
D.
Coca River
The Coca River is a significant waterway in northeastern Ecuador that flows through the Amazon rainforest and contributes to the Napo River system.
-
E.
Illapel River
The Illapel River is a watercourse in Chile’s Coquimbo Region that flows through the Choapa Province, supporting local agriculture and communities in a semi-arid landscape.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5a5360c8190b16e1e4f4206d0aa |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b83709248190bee17ec028b12bae |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:37 p.m.