Triple
T8073977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piedecuesta |
E188445
|
entity |
| Predicate | locatedInOrNextToBodyOfWater |
P1489
|
FINISHED |
| Object | Río Manco Alto |
E769358
|
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: Río Manco Alto | Statement: [Piedecuesta, locatedInOrNextToBodyOfWater, Río Manco Alto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río Manco Alto Context triple: [Piedecuesta, locatedInOrNextToBodyOfWater, Río Manco Alto]
-
A.
Río Manco
chosen
Río Manco is a river in the Santander Department of Colombia that flows near the municipality of Piedecuesta.
-
B.
Río Laja
Río Laja is a river in central Chile known for its role in irrigation, hydroelectric power generation, and as a key tributary of the Biobío River.
-
C.
Río Churún
Río Churún is a river in southeastern Venezuela best known for feeding Angel Falls, the world’s highest uninterrupted waterfall, within Canaima National Park.
-
D.
Huancané River
The Huancané River is a river in the Andean region of Peru that serves as one of the tributaries feeding Lake Titicaca.
-
E.
Río Apatlaco
Río Apatlaco is a river in the Mexican state of Morelos that flows through the city of Cuernavaca and has become known for severe pollution and environmental degradation.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404a98408190b6c8eecb95ad086d |
completed | March 31, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d02f04ab008190a4c98a8f00ec4c20 |
completed | April 3, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:27 p.m.