Triple
T11687841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Angelus, Michigan |
E277788
|
entity |
| Predicate | hasWaterBody |
P165
|
FINISHED |
| Object | Lake Angelus |
E999954
|
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 Angelus | Statement: [Lake Angelus, Michigan, hasWaterBody, Lake Angelus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Angelus Context triple: [Lake Angelus, Michigan, hasWaterBody, Lake Angelus]
-
A.
Lake Angelus
chosen
Lake Angelus is a small, affluent residential city in Oakland County, Michigan, known for its scenic lake-centered setting and low population.
-
B.
Lake Decatur
Lake Decatur is a large man-made reservoir in central Illinois that serves as a primary water supply and recreational area for the city of Decatur.
-
C.
Lake J. B. Thomas
Lake J. B. Thomas is a man-made reservoir in West Texas used primarily for water supply, recreation, and fishing.
-
D.
Lake Stahahe
Lake Stahahe is a scenic recreational lake in New York’s Harriman State Park, popular for activities such as swimming, boating, and fishing.
-
E.
Lake McIntosh
Lake McIntosh is a man-made reservoir in Fayette County, Georgia, popular for recreation and scenic residential development.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4654be881909bd0256cf18e25de |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684c71548819081af6734b8b7279a |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:40 p.m.