Triple
T3700332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sihl River |
E78561
|
entity |
| Predicate | riverSystem |
P1009
|
FINISHED |
| Object | Limmat river system |
E118490
|
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: Limmat river system | Statement: [Sihl River, riverSystem, Limmat river system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limmat river system Context triple: [Sihl River, riverSystem, Limmat river system]
-
A.
Limmat River
chosen
The Limmat River is a major Swiss waterway that flows out of Lake Zurich and runs through the city of Zurich before joining the Aare River.
-
B.
Sakmara River
The Sakmara River is a major river in Russia that flows through the southern Ural region before joining the Ural River.
-
C.
Musi River
The Musi River is a significant river in the Deccan region of India that flows through the city of Hyderabad, historically shaping its development and water supply.
-
D.
Musi River
The Musi River is a major river in southern Sumatra, Indonesia, that flows through the city of Palembang and serves as an important transportation and economic lifeline for the region.
-
E.
Miljacka River
The Miljacka River is a small but historically significant river in Bosnia and Herzegovina that flows through the center of Sarajevo, shaping the city's landscape and urban life.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc514eb6c8190b3b74a603c717729 |
completed | March 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3df86bc819088db92eecee69fd3 |
completed | March 14, 2026, 2:11 a.m. |
Created at: March 8, 2026, 3:26 p.m.