Triple
T2975792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Hempstead Branch |
E80392
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Westwood
Westwood is a commuter rail station serving passengers on the Long Island Rail Road’s West Hempstead Branch in Nassau County, New York.
|
E316073
|
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: Westwood | Statement: [West Hempstead Branch, hasStation, Westwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Westwood Context triple: [West Hempstead Branch, hasStation, Westwood]
-
A.
Westwood
Westwood is a suburban town in Norfolk County, Massachusetts, known for its residential character and proximity to Boston.
-
B.
Westwood
Westwood is a prominent Los Angeles neighborhood best known as the home of UCLA and the popular Westwood Village commercial district.
-
C.
Upland
Upland is a suburban city in Southern California’s Inland Empire, located at the foot of the San Gabriel Mountains.
-
D.
Upland
Upland is a small borough in Delaware County, Pennsylvania, known historically as the original name and early settlement area that later became part of Chester.
-
E.
Redlands
Redlands is a historic city in Southern California known for its citrus-growing heritage, Victorian architecture, and role as an educational and cultural hub in the Inland Empire.
- 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: Westwood Triple: [West Hempstead Branch, hasStation, Westwood]
Generated description
Westwood is a commuter rail station serving passengers on the Long Island Rail Road’s West Hempstead Branch in Nassau County, New York.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Westwood Target entity description: Westwood is a commuter rail station serving passengers on the Long Island Rail Road’s West Hempstead Branch in Nassau County, New York.
-
A.
Westwood
Westwood is a prominent Los Angeles neighborhood best known as the home of UCLA and the popular Westwood Village commercial district.
-
B.
Westwood
Westwood is a suburban town in Norfolk County, Massachusetts, known for its residential character and proximity to Boston.
-
C.
Upland
Upland is a suburban city in Southern California’s Inland Empire, located at the foot of the San Gabriel Mountains.
-
D.
Upland
Upland is a small borough in Delaware County, Pennsylvania, known historically as the original name and early settlement area that later became part of Chester.
-
E.
Redlands
Redlands is a historic city in Southern California known for its citrus-growing heritage, Victorian architecture, and role as an educational and cultural hub in the Inland Empire.
- F. None of above. chosen
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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad998ad5308190a012ec4940eb46cb |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108e99ea881908cccc6656e8653c3 |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b109fc0f308190b1a0105a67491c54 |
completed | March 11, 2026, 6:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10a78414481908689ac3ba5265388 |
completed | March 11, 2026, 6:23 a.m. |
Created at: March 8, 2026, 2:58 p.m.