Triple
T12077154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Courthouse |
E287579
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Rosslyn |
E815
|
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: Rosslyn | Statement: [Courthouse, adjacentTo, Rosslyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosslyn Context triple: [Courthouse, adjacentTo, Rosslyn]
-
A.
Rosslyn
chosen
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.
-
B.
Rosslyn
Rosslyn is a given name most notably associated with British Admiral of the Fleet Rosslyn Wemyss, a senior naval commander during World War I.
-
C.
Rosslyn
Rosslyn is a village in Midlothian, Scotland, best known for the historic and ornately carved Rosslyn Chapel featured in literature and popular culture.
-
D.
Rosslyn
Rosslyn is an industrial suburb in the northern part of Pretoria, South Africa, known for its major automotive manufacturing plants and related factories.
-
E.
Williamsfield
Williamsfield is a town in central Jamaica located within Manchester Parish.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9045ceeec81909427cae8972eed26 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f660f48881908d50bf27b0892953 |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.