Triple
T3481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MBTA Fitchburg Line |
E65
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object |
Shirley
Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
|
E821
|
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: Shirley | Statement: [MBTA Fitchburg Line, serves, Shirley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shirley Context triple: [MBTA Fitchburg Line, serves, Shirley]
-
A.
The Quaker
The Quaker is the traditional, colonial-era–styled mascot representing the University of Pennsylvania and its athletic teams.
-
B.
Mens et Manus
Mens et Manus is the Latin motto of the Massachusetts Institute of Technology, expressing the union of mind and hand in the pursuit of knowledge and practical application.
-
C.
The Town of Homes
The Town of Homes is a residentially focused nickname for Belmont, Massachusetts, reflecting its suburban character and emphasis on neighborhood living.
-
D.
Mystic River
Mystic River is a tidal estuary in the Greater Boston area of Massachusetts, historically significant for shipbuilding and industrial activity along its banks.
-
E.
Lynn
Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
- 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: Shirley Triple: [MBTA Fitchburg Line, serves, Shirley]
Generated description
Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shirley Target entity description: Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
-
A.
The Quaker
The Quaker is the traditional, colonial-era–styled mascot representing the University of Pennsylvania and its athletic teams.
-
B.
Mens et Manus
Mens et Manus is the Latin motto of the Massachusetts Institute of Technology, expressing the union of mind and hand in the pursuit of knowledge and practical application.
-
C.
The Town of Homes
The Town of Homes is a residentially focused nickname for Belmont, Massachusetts, reflecting its suburban character and emphasis on neighborhood living.
-
D.
Mystic River
Mystic River is a tidal estuary in the Greater Boston area of Massachusetts, historically significant for shipbuilding and industrial activity along its banks.
-
E.
Lynn
Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
- 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_69a238d6b47881909e68288aed2fd858 |
completed | Feb. 28, 2026, 12:37 a.m. |
| NER | Named-entity recognition | batch_69a2399c646c8190b4977ed56b8835a8 |
completed | Feb. 28, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a243c57fe481909b6c1b8f41757f96 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NEDg | Description generation | batch_69a2463a71188190a7252fae85f68711 |
completed | Feb. 28, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a246e74bfc8190ba3ea9818a55cc28 |
completed | Feb. 28, 2026, 1:37 a.m. |
Created at: Feb. 28, 2026, 12:40 a.m.