Triple
T4713201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llaima Volcano |
E104565
|
entity |
| Predicate | hasNearbyRiver |
P8567
|
FINISHED |
| Object | Captrén River |
E319179
|
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: Captrén River | Statement: [Llaima Volcano, hasNearbyRiver, Captrén River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Captrén River Context triple: [Llaima Volcano, hasNearbyRiver, Captrén River]
-
A.
Cataraqui River
The Cataraqui River is a waterway in eastern Ontario, Canada, that flows into Lake Ontario at Kingston and forms part of the historic Rideau Canal system.
-
B.
Tecka River
The Tecka River is a Patagonian watercourse in Argentina that feeds into the larger Chubut River system.
-
C.
Lousios River
The Lousios River is a scenic mountain river in the Peloponnese region of Greece, famed for its dramatic gorge, historic monasteries, and role in ancient and monastic history.
-
D.
Yeso River
chosen
The Yeso River is a significant Andean watercourse in central Chile that feeds into the Maipo River and helps supply water to the Santiago metropolitan region.
-
E.
Nyari River
The Nyari River is a regional river in the Indian state of Gujarat that flows through and helps sustain the city of Rajkot.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64064c548190bcaa975bd81cd0d5 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9a53a44e48190bddf0f4faec136e7 |
completed | March 29, 2026, 10:18 p.m. |
Created at: March 20, 2026, 1:18 p.m.