Triple
T2089517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Arthur Conan Doyle |
E32634
|
entity |
| Predicate | residedIn |
P75
|
FINISHED |
| Object | Crowborough |
E32634
|
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: Crowborough | Statement: [Sir Arthur Conan Doyle, residedIn, Crowborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crowborough Context triple: [Sir Arthur Conan Doyle, residedIn, Crowborough]
-
A.
Crowborough
chosen
Crowborough is a small town in East Sussex, England, known for its elevated position on the High Weald and its association with Sir Arthur Conan Doyle.
-
B.
Narborough
Narborough is a village in the English county of Norfolk, known for its rural setting and historic parish character.
-
C.
Fulbourn
Fulbourn is a village and civil parish located just southeast of Cambridge in the district of South Cambridgeshire, England.
-
D.
Braughing
Braughing is a historic rural village in Hertfordshire, England, known for its traditional architecture and long-established community.
-
E.
Kintbury
Kintbury is a rural village in Berkshire, England, known for its picturesque countryside setting and historic charm.
- 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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba730a5c8190a85be72149574d79 |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae305aacc08190904a358fc4207075 |
completed | March 9, 2026, 2:28 a.m. |
Created at: March 4, 2026, 7:43 p.m.