Triple
T15025161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Loop |
E378190
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Chicago River |
E13146
|
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: Chicago River | Statement: [West Loop, borderedBy, Chicago River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chicago River Context triple: [West Loop, borderedBy, Chicago River]
-
A.
Chicago River
chosen
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.
-
B.
Fox River
The Fox River is a Midwestern U.S. river that flows through Wisconsin and Illinois, supporting numerous communities and ecosystems along its course.
-
C.
Fox River
Fox River is a small, remote community located on Alaska’s Kenai Peninsula, known for its rural lifestyle and surrounding wilderness.
-
D.
Lo River
The Lo River is a significant river in northern Vietnam that flows through mountainous and agricultural regions before joining the Red River system.
-
E.
Han River
The Han River is a major tributary of the Yangtze River in central China, flowing through Hubei province and the city of Wuhan.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7de117c8190a1b9fa8d1602057e |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd499108190b803c6afc0fa00bc |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:57 a.m.