Triple
T3431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlington, Virginia |
E64
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Rosslyn
Rosslyn is a major urban business district in Arlington, Virginia, known for its high-rise skyline, corporate offices, and views across the Potomac River to Washington, D.C.
|
E815
|
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: Rosslyn | Statement: [Arlington, Virginia, contains, Rosslyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosslyn Context triple: [Arlington, Virginia, contains, Rosslyn]
-
A.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
B.
Carnegie
Carnegie is a Scottish surname most famously associated with industrialist and philanthropist Andrew Carnegie.
-
C.
Dunfermline, Fife, Scotland
Dunfermline, in Fife, Scotland, is a historic town best known as the birthplace of industrialist and philanthropist Andrew Carnegie.
-
D.
Waverley station
Waverley station is a Massachusetts Bay Transportation Authority (MBTA) commuter rail stop in Belmont, Massachusetts, serving the Fitchburg Line.
-
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: Rosslyn Triple: [Arlington, Virginia, contains, Rosslyn]
Generated description
Rosslyn is a major urban business district in Arlington, Virginia, known for its high-rise skyline, corporate offices, and views across the Potomac River to Washington, D.C.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rosslyn Target entity description: Rosslyn is a major urban business district in Arlington, Virginia, known for its high-rise skyline, corporate offices, and views across the Potomac River to Washington, D.C.
-
A.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
B.
Carnegie
Carnegie is a Scottish surname most famously associated with industrialist and philanthropist Andrew Carnegie.
-
C.
Dunfermline, Fife, Scotland
Dunfermline, in Fife, Scotland, is a historic town best known as the birthplace of industrialist and philanthropist Andrew Carnegie.
-
D.
Waverley station
Waverley station is a Massachusetts Bay Transportation Authority (MBTA) commuter rail stop in Belmont, Massachusetts, serving the Fitchburg Line.
-
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.