Triple
T19479426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lac Saint-Louis |
E487338
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | LaSalle |
—
|
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: LaSalle | Statement: [Lac Saint-Louis, borderedBy, LaSalle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaSalle Context triple: [Lac Saint-Louis, borderedBy, LaSalle]
-
A.
LaSalle
chosen
LaSalle is a residential borough of Montreal, Quebec, known for its riverside parks along the St. Lawrence River and its diverse, largely suburban community.
-
B.
LaSalle
LaSalle is a Chicago Transit Authority Blue Line rapid transit station located in downtown Chicago.
-
C.
LaSalle
LaSalle is a surname of French origin borne by various notable individuals across fields such as exploration, politics, and the arts.
-
D.
LaSalle
LaSalle is a town in southwestern Ontario, Canada, located just south of Windsor along the Detroit River.
-
E.
Tishman
Tishman is a prominent American real estate family name associated with major development and construction firms, particularly in New York City.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6343882a88190b3cfa65e6cac80d3 |
completed | April 20, 2026, 2:12 p.m. |
Created at: April 10, 2026, 1:39 p.m.