Triple
T16346575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevis |
E396947
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Charlestown |
E221729
|
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: Charlestown | Statement: [Nevis, capital, Charlestown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlestown Context triple: [Nevis, capital, Charlestown]
-
A.
Charlestown
Charlestown is a district in north Manchester, England, known as a primarily residential area with local amenities and community facilities.
-
B.
Charlestown
Charlestown is a small town located within the Newcastle Local Municipality in the KwaZulu-Natal province of South Africa.
-
C.
Charlestown
Charlestown is an electoral district in the New South Wales Legislative Assembly, representing part of the Newcastle region in Australia.
-
D.
Charlestown
chosen
Charlestown is the main town and administrative center of the Caribbean island of Nevis, known for its colonial architecture and historic hot springs.
-
E.
Charlestown
Charlestown is a small town in County Mayo in the west of Ireland, known for its traditional Irish character and role as a local service and transport hub.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da0ec7e08190982a0de8ba5da105 |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035587c3481908448f75e5a56d2cb |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:07 a.m.