Triple
T15005092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byfield |
E377687
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object | Lake Mary |
E980456
|
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 Mary | Statement: [Byfield, hasNearbyLocality, Lake Mary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Mary Context triple: [Byfield, hasNearbyLocality, Lake Mary]
-
A.
Lake Mary
Lake Mary is a scenic alpine lake near Mammoth Lakes in California, popular for fishing, boating, and outdoor recreation amid mountain and forest surroundings.
-
B.
Lake Mary
chosen
Lake Mary is a popular reservoir in northern Arizona known for fishing, boating, and scenic forested surroundings near Flagstaff.
-
C.
Lake Mary, Florida
Lake Mary, Florida is a suburban city in Seminole County known for its affluent residential communities, strong public schools, and concentration of high-tech and corporate offices within the greater Orlando area.
-
D.
Lake Helen
Lake Helen is a high-elevation alpine lake in California’s Lassen Volcanic National Park, known for its striking blue waters and scenic mountain surroundings.
-
E.
Lake Helen
Lake Helen is a small historic city in Volusia County, Florida, known for its quiet residential character and early-20th-century architecture.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7322b5c81909089cbbf816e1436 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a35acc8190a85f2ce32800ce1b |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:54 a.m.