Triple
T13157988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barlow Road |
E312641
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Zigzag River |
E1424538
|
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: Zigzag River | Statement: [Barlow Road, crosses, Zigzag River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zigzag River Context triple: [Barlow Road, crosses, Zigzag River]
-
A.
Zigzag River
chosen
The Zigzag River is a mountain stream in northwestern Oregon that flows from the slopes of Mount Hood through the community of Zigzag before joining the Sandy River.
-
B.
Tecka River
The Tecka River is a Patagonian watercourse in Argentina that feeds into the larger Chubut River system.
-
C.
Vysun River
The Vysun River is a minor river in southern Ukraine that serves as a tributary of the larger Inhulets River within the Dnieper basin.
-
D.
Ziese River
The Ziese River is a small river in northeastern Germany that drains into the Szczecin Lagoon along the Baltic Sea coast.
-
E.
Úslava River
The Úslava River is a river in the Czech Republic that flows through the Plzeň Region before joining the Berounka River.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c084028819093bc4e94d53b4f17 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883db3d888190a737968796e13f79 |
completed | May 16, 2026, 2:49 p.m. |
Created at: April 9, 2026, 9:12 p.m.