Triple
T4330430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hatfield, Hertfordshire, England |
E96734
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
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: [Hatfield, Hertfordshire, England, hasNearbySettlement, St Albans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St Albans Context triple: [Hatfield, Hertfordshire, England, hasNearbySettlement, St Albans]
-
A.
St. Albans
St. Albans is a residential neighborhood in southeastern Queens, New York City, known for its historic African American community and jazz heritage.
-
B.
St Albans, Hertfordshire
chosen
St Albans, Hertfordshire is a historic cathedral city in southern England, known for its Roman heritage and medieval architecture.
-
C.
Abingdon
Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
-
D.
Hertford
Hertford is a historic market town and the county town of Hertfordshire in southern England.
-
E.
Jedburgh
Jedburgh is a historic town in the Scottish Borders, known for its medieval abbey, ruined castle jail, and role as a former royal burgh near the English border.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d09fad588190b488012b4fc6cb8c |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:13 p.m.