Triple
T2840666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarn River |
E62457
|
entity |
| Predicate | majorTributary |
P415
|
FINISHED |
| Object | Jonte River |
E506154
|
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: Jonte River | Statement: [Tarn River, majorTributary, Jonte River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonte River Context triple: [Tarn River, majorTributary, Jonte River]
-
A.
Jonte River
chosen
The Jonte River is a scenic watercourse in southern France that flows through the dramatic limestone landscapes and gorges of the Grands Causses region.
-
B.
Yeso River
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.
-
C.
Ulla River
Ulla River is a tributary watercourse in Eastern Europe that feeds into the larger Daugava River system.
-
D.
Evinos River
The Evinos River is a significant river in western Greece known for its scenic course through mountainous terrain and its role in regional water management and outdoor recreation.
-
E.
Jagatu River
The Jagatu River is a regional watercourse flowing through Iranian Azerbaijan in northwestern Iran, contributing to the area's agricultural and ecological 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf15b7288190a03d1193cc0544a6 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf219021d081909d814d0dbf564501 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 6, 2026, 10:01 p.m.