Triple
T10088084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bricket Wood |
E215270
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | St Albans district |
E44851
|
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: St Albans district | Statement: [Bricket Wood, locatedIn, St Albans district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St Albans district Context triple: [Bricket Wood, locatedIn, St Albans district]
-
A.
St Albans
St Albans is a suburb in Melbourne, Victoria, known for its diverse community and residential character.
-
B.
Langwasser district
Langwasser district is a residential and commercial borough in the southeast of Nuremberg, Germany, developed largely in the post-World War II era.
-
C.
St Albans, Hertfordshire
chosen
St Albans, Hertfordshire is a historic cathedral city in southern England, known for its Roman heritage and medieval architecture.
-
D.
Vale of White Horse District
Vale of White Horse District is a local government district in Oxfordshire, England, known for its rural landscapes, historic market towns, and the prehistoric Uffington White Horse hill figure.
-
E.
Hart district
Hart district is a local government district in Hampshire, England, known for its affluent communities, extensive green spaces, and consistently high quality-of-life rankings.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04875748190a81d1e9ad68dda96 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b693afac819090635d2eb147bdcb |
completed | April 5, 2026, 7:22 p.m. |
Created at: March 30, 2026, 9:01 p.m.