Triple
T15241723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Far South Side |
E364270
|
entity |
| Predicate | hasWaterfront |
P1489
|
FINISHED |
| Object | Lake Calumet |
E87546
|
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: Lake Calumet | Statement: [Far South Side, hasWaterfront, Lake Calumet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Calumet Context triple: [Far South Side, hasWaterfront, Lake Calumet]
-
A.
Lake Calumet
chosen
Lake Calumet is an industrially impacted lake on Chicago’s far South Side that has historically served as a major hub for shipping, manufacturing, and waste disposal.
-
B.
Detroit Lake
Detroit Lake is a large reservoir in western Oregon popular for boating, fishing, and camping, formed by the Detroit Dam on the North Santiam River.
-
C.
Lake State
Lake State is an administrative region in northern South Sudan known for its proximity to the White Nile and its predominantly Dinka population.
-
D.
Muskegon Lake
Muskegon Lake is a freshwater coastal lake in western Michigan that connects the city of Muskegon to Lake Michigan and serves as a major recreational and industrial harbor.
-
E.
Lake LaSalle
Lake LaSalle is a man-made lake located on the North Campus of the University at Buffalo, used for recreation and campus activities.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007dcc33081908545ea1a1d2c19fe |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6c25808190af46f4cab56f133c |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:13 a.m.