Triple
T28412229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coal Creek Parkway |
E719698
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Factoria area of Bellevue, Washington
The Factoria area of Bellevue, Washington is a major commercial and retail district on the city’s south side, known for its shopping centers, office parks, and proximity to key regional highways.
|
E1817227
|
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: Factoria area of Bellevue, Washington | Statement: [Coal Creek Parkway, connectsTo, Factoria area of Bellevue, Washington]
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: Factoria area of Bellevue, Washington Triple: [Coal Creek Parkway, connectsTo, Factoria area of Bellevue, Washington]
Generated description
The Factoria area of Bellevue, Washington is a major commercial and retail district on the city’s south side, known for its shopping centers, office parks, and proximity to key regional highways.
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_69eff6f0f37c8190b37bc6fab08a9449 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64dbc9be4819082633afaeb8136dc |
completed | May 2, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a16331852fc81909baffca8b4f9ce62 |
completed | May 26, 2026, 11:56 p.m. |
| NEDg | Description generation | batch_6a1634c284bc8190a09d836655486dc7 |
completed | May 27, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1638ab3f5c8190be17ee9121039cd1 |
completed | May 27, 2026, 12:19 a.m. |
Created at: April 28, 2026, 1:27 a.m.