Triple
T7216416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caernarvon Boroughs |
E149546
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Bangor |
E266539
|
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: Bangor | Statement: [Caernarvon Boroughs, containsTown, Bangor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangor Context triple: [Caernarvon Boroughs, containsTown, Bangor]
-
A.
Bangor
Bangor is a coastal town in Northern Ireland known for its marina, seaside resort heritage, and role as a commuter hub for nearby Belfast.
-
B.
Bangor
chosen
Bangor is a historic cathedral city in northwest Wales, known for its university and scenic location near the Menai Strait.
-
C.
Bangor metropolitan area
The Bangor metropolitan area is a regional urban and economic hub in central-eastern Maine centered on the city of Bangor and its surrounding communities.
-
D.
Bangor, Maine
Bangor, Maine is a small city in eastern Maine known as a regional commercial and cultural hub and famously associated with author Stephen King.
-
E.
Prestatyn
Prestatyn is a seaside town in Denbighshire, North Wales, known for its sandy beaches, coastal tourism, and position near the Irish Sea.
- 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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e99000dc81908ef4b70729cc00b0 |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfd82c488190bfa85ffdd7f385ef |
completed | March 28, 2026, 11:47 a.m. |
Created at: March 27, 2026, 2:53 p.m.