Triple
T15344329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phu Tho Province |
E366875
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Lo River |
E907924
|
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: Lo River | Statement: [Phu Tho Province, traversedBy, Lo River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lo River Context triple: [Phu Tho Province, traversedBy, Lo River]
-
A.
Lo River
chosen
The Lo River is a significant river in northern Vietnam that flows through mountainous and agricultural regions before joining the Red River system.
-
B.
Clain River
The Clain River is a waterway in western France that flows through the city of Poitiers before joining the Vienne River.
-
C.
DuPage River
The DuPage River is a tributary of the Des Plaines River in northeastern Illinois, flowing through suburban Chicago communities and providing important recreational, ecological, and drainage functions for the region.
-
D.
Chicago River
The Chicago River is a historically significant waterway in Chicago known for its engineered reversal of flow, its role in the city’s development, and its iconic green dyeing on St. Patrick’s Day.
-
E.
Three Rivers
Three Rivers was an Amtrak long-distance passenger train that operated between New York City and Chicago via Pittsburgh.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e163a3c8190ab933411372c1573 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4544d5008190ba479a6c56cedc20 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 3:17 a.m.