Triple
T3945641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Walter Rothschild |
E92139
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Tring |
E215265
|
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: Tring | Statement: [Baron Walter Rothschild, deathPlace, Tring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tring Context triple: [Baron Walter Rothschild, deathPlace, Tring]
-
A.
Tring
chosen
Tring is a historic market town in the west of Hertfordshire, England, known for its rural surroundings and proximity to the Chiltern Hills.
-
B.
Chessington
Chessington is a suburban area in the Royal Borough of Kingston upon Thames in southwest London, known for the Chessington World of Adventures Resort theme park and zoo.
-
C.
Stansted Mountfitchet
Stansted Mountfitchet is a village in Essex, England, best known for being the nearby settlement to London Stansted Airport and for its historic Norman castle and medieval-themed tourist attractions.
-
D.
Berkhamsted
Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
-
E.
Ongar
Ongar is a small historic town and civil parish in the county of Essex in southeast England.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef0d8841081908d2c1de8e5758017 |
completed | March 9, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5339869fc8190aee0805a8e2deac5 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:24 p.m.