Triple
T124004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertrand Russell |
E2506
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Trellech |
E2506
|
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: Trellech | Statement: [Bertrand Russell, placeOfBirth, Trellech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trellech Context triple: [Bertrand Russell, placeOfBirth, Trellech]
-
A.
Trellech
chosen
Trellech is a historic village in Monmouthshire, Wales, known for its medieval significance and as the birthplace of philosopher Bertrand Russell.
-
B.
Chepstow
Chepstow is a historic town in Monmouthshire, Wales, best known for its Norman castle overlooking the River Wye near the English border.
-
C.
Port Talbot
Port Talbot is an industrial town and port in South Wales, best known for its large steelworks and coastal location on Swansea Bay.
-
D.
Penrhyndeudraeth
Penrhyndeudraeth is a small town in Gwynedd, northwest Wales, known for its scenic setting near the Dwyryd estuary and the Italianate village of Portmeirion.
-
E.
Bridgend
Bridgend is a town and county borough in South Wales, situated roughly midway between Cardiff and Swansea and known historically for its market and industrial heritage.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a2573ce0ac8190b49fb31d3d475bf9 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a311574d248190b4769473012a3106 |
completed | Feb. 28, 2026, 4:01 p.m. |
Created at: Feb. 28, 2026, 2:27 a.m.