Triple
T15147177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boebe |
E361841
|
entity |
| Predicate | hasNameOrigin |
P3325
|
FINISHED |
| Object | Lake Boebeis |
—
|
NE NERFINISHED |
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 Boebeis | Statement: [Boebe, hasNameOrigin, Lake Boebeis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Boebeis Context triple: [Boebe, hasNameOrigin, Lake Boebeis]
-
A.
Lake Boebeis
chosen
Lake Boebeis was an ancient lake in Thessaly, Greece, known from classical sources and associated with the nearby town of Boebe.
-
B.
Lake Boren
Lake Boren is a freshwater lake in eastern Sweden that forms part of the Göta Canal waterway system and lies near the town of Motala.
-
C.
Lake Jesup
Lake Jesup is a large, shallow freshwater lake in central Florida known for its extensive wetlands, rich wildlife, and significant alligator population.
-
D.
Lake J. B. Thomas
Lake J. B. Thomas is a man-made reservoir in West Texas used primarily for water supply, recreation, and fishing.
-
E.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c825a481909d00098b0e743365 |
completed | April 15, 2026, 9:40 p.m. |
Created at: April 10, 2026, 3:07 a.m.