Triple
T13429516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windsor |
E313570
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object |
LaSalle
LaSalle is a town in southwestern Ontario, Canada, located just south of Windsor along the Detroit River.
|
E1040542
|
NE FINISHED |
How this triple was built (4 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: [Windsor, hasNeighbour, LaSalle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaSalle Context triple: [Windsor, hasNeighbour, LaSalle]
-
A.
LaSalle
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.
Tishman
Tishman is a prominent American real estate family name associated with major development and construction firms, particularly in New York City.
-
E.
LaSalle/Van Buren
LaSalle/Van Buren is a Chicago 'L' station in the Loop that serves as one of the downtown stops on the CTA's Pink Line.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LaSalle Triple: [Windsor, hasNeighbour, LaSalle]
Generated description
LaSalle is a town in southwestern Ontario, Canada, located just south of Windsor along the Detroit River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LaSalle Target entity description: LaSalle is a town in southwestern Ontario, Canada, located just south of Windsor along the Detroit River.
-
A.
LaSalle
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.
Tishman
Tishman is a prominent American real estate family name associated with major development and construction firms, particularly in New York City.
-
E.
LaSalle/Van Buren
LaSalle/Van Buren is a Chicago 'L' station in the Loop that serves as one of the downtown stops on the CTA's Pink Line.
- F. None of above. chosen
Provenance (5 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed304ac8190a8021f749de8164c |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398b828c8190a029a5862ae1fded |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b065818819095d26633fc682546 |
completed | May 3, 2026, 12:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73b8635888190b31035bc72676b9d |
completed | May 3, 2026, 12:11 p.m. |
Created at: April 9, 2026, 9:40 p.m.