Triple
T14134846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teviotdale |
E350263
|
entity |
| Predicate | hasTributaryRiver |
P415
|
FINISHED |
| Object | Rule Water |
E615188
|
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: Rule Water | Statement: [Teviotdale, hasTributaryRiver, Rule Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rule Water Context triple: [Teviotdale, hasTributaryRiver, Rule Water]
-
A.
Rule Water
chosen
Rule Water is a river in the Scottish Borders that flows through rural Roxburghshire before joining the River Teviot.
-
B.
Division of Water
The Division of Water is a specialized unit within New York State’s environmental agency responsible for managing, protecting, and regulating the state’s water resources.
-
C.
Division of Water
The Division of Water is a unit within the Indiana Department of Natural Resources responsible for managing the state’s water resources, including floodplain management, water rights, and hydrologic monitoring.
-
D.
Water
Water is a fundamental chemical substance (H₂O) essential for life, known for its roles in biological processes, climate regulation, and human civilization.
-
E.
Water
Water is a 2005 Canadian-Indian drama film by Deepa Mehta that explores the lives and struggles of Hindu widows in 1930s colonial India.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610e949c8190852d336c9d12bfd0 |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf14439c81908b2a9999a35cc346 |
completed | May 7, 2026, 6:51 p.m. |
Created at: April 9, 2026, 11:57 p.m.