Triple
T14884164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Lakes campus |
E350077
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | North Lakes |
E1126604
|
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: North Lakes | Statement: [North Lakes campus, city, North Lakes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Lakes Context triple: [North Lakes campus, city, North Lakes]
-
A.
North Lakes
chosen
North Lakes is a master-planned residential and commercial suburb in Queensland, Australia, known for its shopping precincts, schools, and family-oriented amenities.
-
B.
Arbor Lakes
Arbor Lakes is a major retail and entertainment district in Maple Grove, Minnesota, featuring a mix of shops, restaurants, and commercial developments.
-
C.
Cedar Lakes
Cedar Lakes is a remote cluster of scenic backcountry lakes in New York’s Adirondack Mountains, popular with wilderness hikers and paddlers.
-
D.
Lake Park
Lake Park is a recreational lakefront park in Des Plaines, Illinois, known for its scenic water views, boating, and outdoor leisure activities.
-
E.
Lake Park
Lake Park is a historic, Frederick Law Olmsted–designed public park in Milwaukee, Wisconsin, known for its scenic bluffs, trails, and views of Lake Michigan.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5f4598081908735e8d7dfce8074 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e8192548190ad268b5804c97060 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:56 a.m.