Triple
T4478083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin McGuinness |
E100059
|
entity |
| Predicate | represented |
P192
|
FINISHED |
| Object | Foyle |
E432060
|
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: Foyle | Statement: [Martin McGuinness, represented, Foyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foyle Context triple: [Martin McGuinness, represented, Foyle]
-
A.
Foyle
chosen
Foyle is a parliamentary constituency in Northern Ireland centered on the city of Derry/Londonderry.
-
B.
Foody
Foody is the anthropomorphic, fruit-and-vegetable-themed character that served as the official mascot of Expo 2015 in Milan.
-
C.
Freuchie
Freuchie is a small village in the Kingdom of Fife, Scotland, known for its rural character and historic cricket club.
-
D.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
-
E.
Fogn
Fogn is a small Norwegian island known for its agriculture and scenic coastal landscape.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356d9d1d08190b3f9356eefd237dc |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b63776ae008190a7668cddf1a42df3 |
completed | March 15, 2026, 4:37 a.m. |
Created at: March 12, 2026, 11:35 p.m.