Triple
T969754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montauk Branch |
E20918
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
Mastic–Shirley
Mastic–Shirley is a Long Island Rail Road station in Suffolk County, New York, serving the neighboring communities of Mastic and Shirley.
|
E114971
|
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: Mastic–Shirley | Statement: [Montauk Branch, serves, Mastic–Shirley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mastic–Shirley Context triple: [Montauk Branch, serves, Mastic–Shirley]
-
A.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
B.
Pauletta
Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
-
C.
Roberta
Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
-
D.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
E.
Mabel Grex
Mabel Grex is a central fictional character in Anthony Trollope’s novel "The Duke's Children," known for her beauty, charm, and complex romantic entanglements within high society.
- 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: Mastic–Shirley Triple: [Montauk Branch, serves, Mastic–Shirley]
Generated description
Mastic–Shirley is a Long Island Rail Road station in Suffolk County, New York, serving the neighboring communities of Mastic and Shirley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mastic–Shirley Target entity description: Mastic–Shirley is a Long Island Rail Road station in Suffolk County, New York, serving the neighboring communities of Mastic and Shirley.
-
A.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
B.
Pauletta
Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
-
C.
Roberta
Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
-
D.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
E.
Mabel Grex
Mabel Grex is a central fictional character in Anthony Trollope’s novel "The Duke's Children," known for her beauty, charm, and complex romantic entanglements within high society.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4497d688190b59c3a195e377080 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1707339081909c69c7c613eed383 |
completed | March 7, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69ac1841a6188190bca3ab98eb169d47 |
completed | March 7, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac18afee148190ac7431327588c31b |
completed | March 7, 2026, 12:23 p.m. |
Created at: March 1, 2026, 7:40 p.m.