Triple
T2965657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Smith of Aberdeen |
E80155
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Aberdeen |
E53521
|
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: Aberdeen | Statement: [William Smith of Aberdeen, workLocation, Aberdeen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aberdeen Context triple: [William Smith of Aberdeen, workLocation, Aberdeen]
-
A.
Aberdeen
chosen
Aberdeen is a major port city in northeast Scotland known for its North Sea oil industry, granite architecture, and role as a regional economic and cultural hub.
-
B.
Aberdeen
Aberdeen is a small rural town in the Upper Hunter region of New South Wales, Australia, known historically for its agricultural and meat-processing industries.
-
C.
Aberdeen
Aberdeen is a small city in northeastern South Dakota known as a regional hub for agriculture, education, and rail transport.
-
D.
Inverness
Inverness is a city in the Scottish Highlands that serves as a major cultural and administrative center for the region.
-
E.
Dundee
Dundee is a coastal city in eastern Scotland known for its historic jute industry, maritime heritage, and contemporary cultural and design scene.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad995a28e88190a4d6b9ef2c0d8e61 |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2033e50988190a99bca343923b099 |
completed | March 12, 2026, 12:05 a.m. |
Created at: March 8, 2026, 2:58 p.m.