Triple
T6554795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vakhsh River |
E152418
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Yazgulem River |
E527190
|
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: Yazgulem River | Statement: [Vakhsh River, hasTributary, Yazgulem River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yazgulem River Context triple: [Vakhsh River, hasTributary, Yazgulem River]
-
A.
Yazgulem River
chosen
The Yazgulem River is a significant mountain river in the Pamir region of Tajikistan, known for draining remote high-altitude valleys before joining the Panj River.
-
B.
Ziya River
The Ziya River is a major river in northern China that serves as one of the principal tributaries feeding into the Hai River system.
-
C.
Turkwel River
The Turkwel River is a major river in northwestern Kenya that flows from the Mount Elgon region through the Turkana area, providing vital water resources before emptying into Lake Turkana.
-
D.
Leysse River
The Leysse River is a watercourse in the Savoie region of southeastern France that flows through Chambéry before emptying into Lake Bourget.
-
E.
Bihad River
The Bihad River is a regional river flowing through the Baghelkhand area of central India, contributing to the region’s drainage and local agriculture.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1c07cc819089c297edad943a57 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4d712008190aa25340e1feb0804 |
completed | March 29, 2026, 5:12 a.m. |
Created at: March 27, 2026, 1:51 p.m.