Triple
T8034566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Till |
E187072
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | River Glen |
E635536
|
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: River Glen | Statement: [River Till, hasTributary, River Glen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Glen Context triple: [River Till, hasTributary, River Glen]
-
A.
River Glen
chosen
River Glen is a small river in eastern England that flows through Lincolnshire’s rural landscape before joining the River Welland.
-
B.
River Grove
River Grove is a suburban village in Cook County, Illinois, located near Chicago and served by commuter rail transit.
-
C.
Riverway
Riverway is a linear park and waterway in Boston that forms part of the Emerald Necklace, offering scenic green space and recreational paths near the Longwood Medical Area.
-
D.
North Ridge
North Ridge is a prominent ridgeline within the Bull Run Mountains, known for its forested slopes and hiking terrain in northern Virginia.
-
E.
North Ridge
North Ridge is a prominent and challenging mountaineering route used to ascend Alaska’s Mount Foraker.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef50f4c8190a895ac301f182734 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56f493908190b68e791cdbe725fa |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:22 p.m.