Triple
T35499156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linden Hills Library |
E1025950
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Linden Hills, Minneapolis, Minnesota, United States
Linden Hills, Minneapolis, Minnesota, United States is a residential neighborhood in southwest Minneapolis known for its tree-lined streets, proximity to Lakes Harriet and Calhoun (Bde Maka Ska), and vibrant local shops and cafes.
|
E2142755
|
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: Linden Hills, Minneapolis, Minnesota, United States | Statement: [Linden Hills Library, locatedIn, Linden Hills, Minneapolis, Minnesota, United States]
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: Linden Hills, Minneapolis, Minnesota, United States Triple: [Linden Hills Library, locatedIn, Linden Hills, Minneapolis, Minnesota, United States]
Generated description
Linden Hills, Minneapolis, Minnesota, United States is a residential neighborhood in southwest Minneapolis known for its tree-lined streets, proximity to Lakes Harriet and Calhoun (Bde Maka Ska), and vibrant local shops and cafes.
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_69f76dfc9c60819089c4217d93922615 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79736db3481909b8eea629bb6248d |
completed | May 3, 2026, 6:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38404c35348190b0609879bff896c0 |
completed | June 21, 2026, 7:49 p.m. |
| NEDg | Description generation | batch_6a38412b825c8190bb041dcf4f238c3e |
completed | June 21, 2026, 7:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a38425594c481908679cd38b14e31c8 |
completed | June 21, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:04 p.m.