Triple
T2642835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leven, Kennoway and Largo |
E62912
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Largo |
E176230
|
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: Largo | Statement: [Leven, Kennoway and Largo, hasCommunity, Largo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Largo Context triple: [Leven, Kennoway and Largo, hasCommunity, Largo]
-
A.
Largo
chosen
Largo is a suburban community in Prince George’s County, Maryland, located just east of Washington, D.C.
-
B.
Lower Largo
Lower Largo is a small coastal village in Fife, Scotland, known as the birthplace of Alexander Selkirk, the sailor who inspired Daniel Defoe’s Robinson Crusoe.
-
C.
Doral
Doral is a discount cigarette brand produced by R.J. Reynolds Tobacco Company, known for its value-oriented positioning in the U.S. tobacco market.
-
D.
Upper Largo
Upper Largo is a small village in Fife, Scotland, situated near the southern coast by Largo Bay.
-
E.
Bayside
Bayside is a primarily residential neighborhood in the northeastern part of Queens, New York City, known for its suburban feel, good schools, and waterfront parks.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8ff34988190ba9d69ce9d77c71d |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf49dc7c8190bebc1c75f6d00ef9 |
completed | March 10, 2026, 5:42 a.m. |
Created at: March 6, 2026, 9:53 p.m.