Triple
T28214018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 95 in Fort Lee |
E711255
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Broad Avenue in Fort Lee
Broad Avenue in Fort Lee is a major local thoroughfare in Fort Lee, New Jersey, serving residential and commercial areas near the George Washington Bridge and Interstate 95.
|
E1809489
|
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: Broad Avenue in Fort Lee | Statement: [Interstate 95 in Fort Lee, connectsTo, Broad Avenue in Fort Lee]
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: Broad Avenue in Fort Lee Triple: [Interstate 95 in Fort Lee, connectsTo, Broad Avenue in Fort Lee]
Generated description
Broad Avenue in Fort Lee is a major local thoroughfare in Fort Lee, New Jersey, serving residential and commercial areas near the George Washington Bridge and Interstate 95.
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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6434bfb4881909c3309b3ec88c17a |
completed | May 2, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15e6c2690c8190874a1a3e9a68eb9f |
completed | May 26, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_6a15e7d2fef48190afc3d5ee7901ebac |
completed | May 26, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15fcfcbb94819096d38b205a60ba4a |
completed | May 26, 2026, 8:05 p.m. |
Created at: April 27, 2026, 10:41 p.m.