Triple
T27603850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sault Ste. Marie Canal National Historic Site area |
E700124
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
United States border at Sault Ste. Marie, Michigan
The United States border at Sault Ste. Marie, Michigan is an international crossing point between the U.S. and Canada, centered around the St. Marys River and the Soo Locks, facilitating significant commercial and passenger traffic between the two countries.
|
E1780393
|
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: United States border at Sault Ste. Marie, Michigan | Statement: [Sault Ste. Marie Canal National Historic Site area, locatedNear, United States border at Sault Ste. Marie, Michigan]
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: United States border at Sault Ste. Marie, Michigan Triple: [Sault Ste. Marie Canal National Historic Site area, locatedNear, United States border at Sault Ste. Marie, Michigan]
Generated description
The United States border at Sault Ste. Marie, Michigan is an international crossing point between the U.S. and Canada, centered around the St. Marys River and the Soo Locks, facilitating significant commercial and passenger traffic between the two countries.
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_69ef6a4e2e208190b63b7268f405785c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6309977b081909fa10967d6d30f99 |
completed | May 2, 2026, 5:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12d0e7cea08190bdca6497f79d2b5e |
completed | May 24, 2026, 10:20 a.m. |
| NEDg | Description generation | batch_6a12d1497cb4819085e9a1a5401d9118 |
completed | May 24, 2026, 10:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12d2747f6881909aa2a5b0c389a494 |
completed | May 24, 2026, 10:27 a.m. |
Created at: April 27, 2026, 2:09 p.m.