Triple
T9859282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarence Park |
E239665
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | 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: St Albans | Statement: [Clarence Park, location, St Albans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St Albans Context triple: [Clarence Park, location, St Albans]
-
A.
St Albans
St Albans is a suburb in Melbourne, Victoria, known for its diverse community and residential character.
-
B.
St. Albans
St. Albans is a residential neighborhood in southeastern Queens, New York City, known for its historic African American community and jazz heritage.
-
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.
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.
Shirburn
Shirburn is a small rural village and civil parish in Oxfordshire, England, known for its historic countryside setting and proximity to the Chiltern Hills.
- 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_69ca84e6493081909cf58c8d42ea856b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb39b06b48190ab53ff00ff0513ca |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23caf70f8819090ba25c4395c3de2 |
completed | April 5, 2026, 10:42 a.m. |
Created at: March 30, 2026, 8:35 p.m.