Triple
T4788136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Modoc people |
E106532
|
entity |
| Predicate | associatedRiver |
P165
|
FINISHED |
| Object | Lost River |
E405779
|
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: Lost River | Statement: [Modoc people, associatedRiver, Lost River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lost River Context triple: [Modoc people, associatedRiver, Lost River]
-
A.
Lost River
Lost River is a largely subterranean river in West Virginia known for disappearing underground and reemerging as the Cacapon River.
-
B.
Lost River
Lost River is a minor watercourse in New South Wales, Australia, that serves as a tributary of the Goodradigbee River within the Murray–Darling Basin.
-
C.
Lost River
Lost River is an underground river in Bowling Green, Kentucky, known for flowing through the Lost River Cave system and offering boat tours and geological attractions.
-
D.
Lost River
Lost River is a 2014 fantasy-neo-noir film written and directed by Ryan Gosling, known for its surreal, dreamlike atmosphere and ensemble cast including Christina Hendricks.
-
E.
Lost River
chosen
Lost River is an intermittent river in southern Oregon and northern California known for its unusual looping course and role in regional irrigation and wildlife refuges.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65da229c81909c703393f7b9b71d |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43e504488190b55cd745f82e9897 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:22 p.m.