Triple
T2877810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falls Church |
E56919
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | The Falls Church |
E56919
|
NE FINISHED |
How this triple was built (2 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: The Falls Church | Statement: [Falls Church, namedAfter, The Falls Church]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Falls Church Context triple: [Falls Church, namedAfter, The Falls Church]
-
A.
Falls Church
chosen
Falls Church is an independent city in Northern Virginia, near Washington, D.C., known for its small size, historic character, and suburban residential communities.
-
B.
Herndon
Herndon is a suburban town in Fairfax County, Virginia, known for its proximity to Washington, D.C. and Dulles International Airport.
-
C.
Fairfax, Virginia
Fairfax, Virginia is an independent city in Northern Virginia that serves as a major suburban community within the Washington, D.C. metropolitan area.
-
D.
Leesburg
Leesburg is a historic town in Loudoun County that serves as a suburban hub of Northern Virginia near Washington, D.C.
-
E.
McLean
McLean is an affluent suburban community in Northern Virginia known for its upscale residential neighborhoods, proximity to Washington, D.C., and numerous high-ranking government and corporate residents.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe007329c8190b0bc1851c7307124 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d02c25408190ba366a6a5e422046 |
completed | March 14, 2026, 9:16 p.m. |
Created at: March 6, 2026, 10:03 p.m.