Triple
T12343699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Lakes |
E294294
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Lake City |
unclear NED1
|
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 City | Statement: [City of Lakes, alsoKnownAs, Lake City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake City Context triple: [City of Lakes, alsoKnownAs, Lake City]
-
A.
Lake City
Lake City is the former name of Rocky Top, a small town in Anderson and Campbell counties in northeastern Tennessee.
-
B.
Lake City
Lake City is a nickname for Lake Charles, a city in southwestern Louisiana known for its petrochemical industry, casinos, and proximity to the Gulf Coast.
-
C.
Lake City
Lake City is a small city in northern Florida known as a regional hub for healthcare, commerce, and outdoor recreation near numerous lakes and natural springs.
-
D.
Lake City
Lake City is a small historic mountain town in Colorado known for its scenic alpine setting, outdoor recreation, and preserved 19th-century character.
-
E.
Lake City
Lake City is a residential and commercial neighborhood in northeast Seattle, Washington, known for its busy arterial corridor, diverse community, and mix of older homes, apartments, and local businesses.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f78a970819086beec3e4da8c49e |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aaa1d548190be065412aab70385 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:53 p.m.