Triple
T15130305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dacorum |
E361400
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Boxmoor |
E215273
|
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: Boxmoor | Statement: [Dacorum, contains, Boxmoor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boxmoor Context triple: [Dacorum, contains, Boxmoor]
-
A.
Boxmoor
chosen
Boxmoor is a suburban residential area and common land near Hemel Hempstead in the English county of Hertfordshire.
-
B.
Martinsborough
Martinsborough was the original name of the city now known as Greenville in eastern North Carolina.
-
C.
Chilmark
Chilmark is a small, rural town on the island of Martha’s Vineyard in Massachusetts, known for its scenic landscapes, stone walls, and fishing village of Menemsha.
-
D.
Wellesley Hills
Wellesley Hills is a village and commercial center within the town of Wellesley, Massachusetts, known for its suburban character and local institutions.
-
E.
Langdon Hills
Langdon Hills is a residential area and country park known for its woodlands and elevated views, located within the Basildon district of Essex, 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec87ed2cc8190b4cae72774e0df7f |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:06 a.m.