Triple
T26638821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 95 in Burlington, Massachusetts |
E668709
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Burlington, Massachusetts and Woburn, Massachusetts
Burlington and Woburn are neighboring suburban cities in eastern Massachusetts, located northwest of Boston and known for their mix of residential areas, commercial centers, and highway access.
|
E1736335
|
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: Burlington, Massachusetts and Woburn, Massachusetts | Statement: [Interstate 95 in Burlington, Massachusetts, connects, Burlington, Massachusetts and Woburn, Massachusetts]
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: Burlington, Massachusetts and Woburn, Massachusetts Triple: [Interstate 95 in Burlington, Massachusetts, connects, Burlington, Massachusetts and Woburn, Massachusetts]
Generated description
Burlington and Woburn are neighboring suburban cities in eastern Massachusetts, located northwest of Boston and known for their mix of residential areas, commercial centers, and highway access.
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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6162f62b481908fa62a557e1297d8 |
completed | May 2, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11ec3d3fc48190a96f091635f93b88 |
completed | May 23, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_6a11f336de248190b43b638c85e1a362 |
completed | May 23, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11f3b0987881908d58741b133d3296 |
completed | May 23, 2026, 6:36 p.m. |
Created at: April 27, 2026, 2:28 a.m.