Triple
T14088536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Joseph, Michigan |
E339061
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
St. Joe
St. Joe is a small Lake Michigan beach town in southwestern Michigan known for its scenic waterfront, historic downtown, and popular summer tourism.
|
E1080411
|
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: St. Joe | Statement: [St. Joseph, Michigan, nickname, St. Joe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Joe Context triple: [St. Joseph, Michigan, nickname, St. Joe]
-
A.
Riverview
Riverview is a suburban town located across the Petitcodiac River from Moncton in southeastern New Brunswick, Canada.
-
B.
Riverview
Riverview is an unincorporated rural community located in Moody County in eastern South Dakota.
-
C.
Riverview
Riverview is a harbourside residential suburb on Sydney’s Lower North Shore known for its leafy streets, waterfront views, and proximity to the Lane Cove River.
-
D.
Laporte
Laporte is a small borough that serves as the county seat of Sullivan County in northeastern Pennsylvania.
-
E.
Laporte
Laporte is a surname of French origin borne by various notable individuals across fields such as science, sports, and politics.
- 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: St. Joe Triple: [St. Joseph, Michigan, nickname, St. Joe]
Generated description
St. Joe is a small Lake Michigan beach town in southwestern Michigan known for its scenic waterfront, historic downtown, and popular summer tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: St. Joe Target entity description: St. Joe is a small Lake Michigan beach town in southwestern Michigan known for its scenic waterfront, historic downtown, and popular summer tourism.
-
A.
Riverview
Riverview is a suburban town located across the Petitcodiac River from Moncton in southeastern New Brunswick, Canada.
-
B.
Riverview
Riverview is an unincorporated rural community located in Moody County in eastern South Dakota.
-
C.
Riverview
Riverview is a harbourside residential suburb on Sydney’s Lower North Shore known for its leafy streets, waterfront views, and proximity to the Lane Cove River.
-
D.
Laporte
Laporte is a small borough that serves as the county seat of Sullivan County in northeastern Pennsylvania.
-
E.
Laporte
Laporte is a surname of French origin borne by various notable individuals across fields such as science, sports, and politics.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee1ce88819091c983286289337e |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a5c9948190805c2e687c8809ff |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd56da6408190bdbce6581c51d065 |
completed | May 7, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd5f8266081909ff9148a77d63ea8 |
completed | May 7, 2026, 6:12 p.m. |
Created at: April 9, 2026, 10:21 p.m.