Triple
T17824958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey Route 10 |
E445090
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Livingston
Livingston is a suburban township in Essex County, New Jersey, known for its residential neighborhoods, schools, and shopping areas.
|
E1169865
|
NE FINISHED |
How this triple was built (4 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: Livingston | Statement: [New Jersey Route 10, passesThrough, Livingston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Livingston Context triple: [New Jersey Route 10, passesThrough, Livingston]
-
A.
Livingston
Livingston is a large post-war new town in West Lothian, Scotland, known as a major residential and commercial centre within the Edinburgh commuter belt.
-
B.
Livingston
Livingston is a small city in western Alabama known as the home of the University of West Alabama.
-
C.
Livingston
Livingston is a residential neighborhood on Staten Island, New York City, known for its historic character and proximity to cultural institutions like Snug Harbor.
-
D.
Livingston
Livingston is a small agricultural city in California’s Central Valley, located in Merced County.
-
E.
Livingston
Livingston is a small Montana city known as a historic railroad town and gateway to Yellowstone National Park, with a vibrant arts scene and scenic mountain surroundings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Livingston Triple: [New Jersey Route 10, passesThrough, Livingston]
Generated description
Livingston is a suburban township in Essex County, New Jersey, known for its residential neighborhoods, schools, and shopping areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Livingston Target entity description: Livingston is a suburban township in Essex County, New Jersey, known for its residential neighborhoods, schools, and shopping areas.
-
A.
Livingston
chosen
Livingston is a suburban township in Essex County, New Jersey, known for its residential neighborhoods, strong public school system, and proximity to New York City.
-
B.
Livingston
Livingston is a residential neighborhood on Staten Island, New York City, known for its historic character and proximity to cultural institutions like Snug Harbor.
-
C.
Livingston
Livingston is a large post-war new town in West Lothian, Scotland, known as a major residential and commercial centre within the Edinburgh commuter belt.
-
D.
Livingston
Livingston is a small agricultural city in California’s Central Valley, located in Merced County.
-
E.
Livingston
Livingston is a small city in western Alabama known as the home of the University of West Alabama.
- F. None of above.
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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891352ac8190ad3d669fea1c9fbb |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff6d07308190bcf6c959204f89a6 |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a03003084fc8190b7272f7d2e0735d7 |
completed | May 12, 2026, 10:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0300e885e481909c76dfbac2fd1009 |
completed | May 12, 2026, 10:28 a.m. |
Created at: April 10, 2026, 10:15 a.m.