Triple
T6367894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannonbridge |
E143271
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Banagher |
E146286
|
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: Banagher | Statement: [Shannonbridge, nearbyTown, Banagher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banagher Context triple: [Shannonbridge, nearbyTown, Banagher]
-
A.
Banagher
chosen
Banagher is a small Irish town in County Offaly known for its historic bridge over the River Shannon and its traditional boating and angling activities.
-
B.
Bresnahan
Bresnahan is a surname most notably associated with early 20th-century American baseball player and Hall of Fame catcher Roger Bresnahan.
-
C.
Fairley
Fairley is a surname and given name, often considered a variant spelling of Farley, that appears in English-speaking countries.
-
D.
Gombauld
Gombauld is a modernist painter and one of the central, satirically portrayed guests at the country-house gathering in Aldous Huxley’s novel "Crome Yellow."
-
E.
Vassall
Vassall is an English surname historically associated with notable figures in British public life and espionage.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068251ae48190af8201d5f9ad35b6 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d8689408190b334928df870ed29 |
completed | March 27, 2026, 7:11 a.m. |
Created at: March 22, 2026, 4:32 p.m.