Triple
T22673656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Lynskey |
E560286
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Fairwater |
—
|
NE NERFINISHED |
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: Fairwater | Statement: [Lucy Lynskey, workLocation, Fairwater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fairwater Context triple: [Lucy Lynskey, workLocation, Fairwater]
-
A.
Fairwater
chosen
Fairwater is a residential suburb and community in the western part of Cardiff, Wales.
-
B.
Fairwater
Fairwater is a residential neighbourhood within the town of Cwmbran in South Wales.
-
C.
Waterside
Waterside is a district of Derry, Northern Ireland, situated on the east bank of the River Foyle opposite the historic city centre.
-
D.
Waterside
Waterside is a small coastal community located within Pictou County in the Canadian province of Nova Scotia.
-
E.
Brightwater
Brightwater is a small rural township in New Zealand’s Tasman District, known for its agricultural surroundings and as the birthplace of Nobel Prize–winning physicist Ernest Rutherford.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17821daf88190b18a73a222fc22fb |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.