Triple
T2851485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Lawn |
E63100
|
entity |
| Predicate | hasBorder |
P224
|
FINISHED |
| Object | Ashburn |
E407579
|
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: Ashburn | Statement: [Chicago Lawn, hasBorder, Ashburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashburn Context triple: [Chicago Lawn, hasBorder, Ashburn]
-
A.
Ashburn
Ashburn is a rapidly growing suburban community in Loudoun County, Virginia, known for its major data centers, tech industry presence, and planned residential neighborhoods.
-
B.
Ashburn
chosen
Ashburn is a residential neighborhood located on the Southwest Side of Chicago, Illinois.
-
C.
Leesburg
Leesburg is a historic town in Loudoun County that serves as a suburban hub of Northern Virginia near Washington, D.C.
-
D.
Centreville
Centreville is a suburban community in Fairfax County, Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
-
E.
Falls Church
Falls Church is an independent city in Northern Virginia, near Washington, D.C., known for its small size, historic character, and suburban residential communities.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5ca2648190bd32c6ec4b0dd3b6 |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c6d1e3b08190beff7f113dec8b1c |
completed | March 14, 2026, 8:36 p.m. |
Created at: March 6, 2026, 10:02 p.m.