Triple
T8899284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How Wood |
E211884
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | City and District of St Albans |
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: City and District of St Albans | Statement: [How Wood, partOf, City and District of St Albans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City and District of St Albans Context triple: [How Wood, partOf, City and District of St Albans]
-
A.
St Albans, Hertfordshire
chosen
St Albans, Hertfordshire is a historic cathedral city in southern England, known for its Roman heritage and medieval architecture.
-
B.
St Albans
St Albans is a suburb in Melbourne, Victoria, known for its diverse community and residential character.
-
C.
St. Albans
St. Albans is a residential neighborhood in southeastern Queens, New York City, known for its historic African American community and jazz heritage.
-
D.
Abingdon
Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
-
E.
Hertford and Stortford
Hertford and Stortford is a UK parliamentary constituency in Hertfordshire, represented in the House of Commons.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64278b208190afc3dec64ecdb0f5 |
completed | April 1, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfac10be588190bd1b44f09ded7826 |
completed | April 3, 2026, 12:01 p.m. |
Created at: March 30, 2026, 6:54 p.m.