Triple
T27648538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Route 42 in Turnersville, Gloucester County, New Jersey |
E696779
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Route 168
Route 168 is a state highway in southern New Jersey that serves as a major local thoroughfare parallel to the North–South Freeway (Route 42) through Camden and Gloucester counties.
|
E1823461
|
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: Route 168 | Statement: [Route 42 in Turnersville, Gloucester County, New Jersey, connectsTo, Route 168]
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: Route 168 Triple: [Route 42 in Turnersville, Gloucester County, New Jersey, connectsTo, Route 168]
Generated description
Route 168 is a state highway in southern New Jersey that serves as a major local thoroughfare parallel to the North–South Freeway (Route 42) through Camden and Gloucester counties.
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_69ef590abd3c8190834d0193bde12007 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f631d34c388190bdeb6f523856fc33 |
completed | May 2, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1cac1d24ac8190a4daa416712f7993 |
completed | May 31, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_6a1cadadb2708190ab52e8a3df06eddb |
completed | May 31, 2026, 9:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1cae35e348819097647a4b59628818 |
completed | May 31, 2026, 9:55 p.m. |
Created at: April 27, 2026, 2:30 p.m.