Triple
T8524449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Cajon |
E201775
|
entity |
| Predicate | hasNeighboringCity |
P3883
|
FINISHED |
| Object | Lakeside |
E705966
|
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: Lakeside | Statement: [El Cajon, hasNeighboringCity, Lakeside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakeside Context triple: [El Cajon, hasNeighboringCity, Lakeside]
-
A.
Lakeside
chosen
Lakeside is a suburban community in San Diego County, California, known for its semi-rural character and proximity to reservoirs and outdoor recreation areas.
-
B.
Lakeside
Lakeside is a small settlement in England’s Lake District, known as a lakeside stop and tourist base on the southern shore of Windermere.
-
C.
Lakeside
Lakeside is a suburban community in Henrico County, Virginia, known for its residential neighborhoods and proximity to the city of Richmond.
-
D.
Lakeside
Lakeside is a residential neighborhood in the city of Wakefield, Massachusetts, known for its proximity to the town’s lakes and local amenities.
-
E.
Lakeside
Lakeside is an upscale seafood restaurant at the Wynn Las Vegas known for its lakefront views and fine dining experience.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe644c4648190a14dcaeaa90d72c7 |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e9219108190979430a4308fc4c5 |
completed | April 2, 2026, 11:10 a.m. |
Created at: March 30, 2026, 6:16 p.m.