Triple
T598931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theresa May |
E11449
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Eastbourne |
E62189
|
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: Eastbourne | Statement: [Theresa May, placeOfBirth, Eastbourne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eastbourne Context triple: [Theresa May, placeOfBirth, Eastbourne]
-
A.
Eastbourne
chosen
Eastbourne is a seaside town and popular coastal resort on England’s south coast, known for its Victorian architecture, long promenade, and proximity to the chalk cliffs of Beachy Head.
-
B.
Ramsgate
Ramsgate is a seaside town and port on the Isle of Thanet in Kent, England, known historically as a popular resort and maritime hub.
-
C.
Clacton-on-Sea
Clacton-on-Sea is a seaside resort town on the Essex coast of England, known for its sandy beaches, pier, and traditional British holiday attractions.
-
D.
Bognor Regis
Bognor Regis is a seaside town and popular holiday resort on the south coast of England, known for its beaches and traditional British coastal attractions.
-
E.
Brighton
Brighton is a major seaside city on England’s south coast, renowned for its beach, pier, and vibrant cultural and nightlife scenes.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d776c6c819081b41a9b55041cd5 |
completed | March 1, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a51f36ab388190a418f6d4ffe91d66 |
completed | March 2, 2026, 5:25 a.m. |
Created at: March 1, 2026, 7:35 p.m.