Triple
T4894761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dent, Yorkshire, England |
E109648
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object |
SEDBERGH
Sedbergh is a small market town in Cumbria, England, known for its historic buildings, surrounding Howgill Fells, and reputation as England’s official book town.
|
E479545
|
NE FINISHED |
How this triple was built (4 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: SEDBERGH | Statement: [Dent, Yorkshire, England, postTown, SEDBERGH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEDBERGH Context triple: [Dent, Yorkshire, England, postTown, SEDBERGH]
-
A.
Smedby
Smedby is a residential locality in Sweden situated within Upplands Väsby Municipality, north of Stockholm.
-
B.
Söderblom
Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
-
C.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
D.
Rosersberg
Rosersberg is a locality in Stockholm County, Sweden, known for its historic Rosersberg Palace and its location near Stockholm Arlanda Airport.
-
E.
Pedersöre
Pedersöre is a bilingual (Swedish- and Finnish-speaking) rural municipality in western Finland known for its agriculture and small-town communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SEDBERGH Triple: [Dent, Yorkshire, England, postTown, SEDBERGH]
Generated description
Sedbergh is a small market town in Cumbria, England, known for its historic buildings, surrounding Howgill Fells, and reputation as England’s official book town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SEDBERGH Target entity description: Sedbergh is a small market town in Cumbria, England, known for its historic buildings, surrounding Howgill Fells, and reputation as England’s official book town.
-
A.
Smedby
Smedby is a residential locality in Sweden situated within Upplands Väsby Municipality, north of Stockholm.
-
B.
Söderblom
Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
-
C.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
D.
Rosersberg
Rosersberg is a locality in Stockholm County, Sweden, known for its historic Rosersberg Palace and its location near Stockholm Arlanda Airport.
-
E.
Pedersöre
Pedersöre is a bilingual (Swedish- and Finnish-speaking) rural municipality in western Finland known for its agriculture and small-town communities.
- F. None of above. chosen
Provenance (5 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e26b6808190a84e3e8466f2b4e9 |
completed | March 20, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fc665e08190ae067746d6c19018 |
completed | March 21, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_69be72aaca448190b7dc45d61d317a35 |
completed | March 21, 2026, 10:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be732d2a708190bf44aeeb830e530e |
completed | March 21, 2026, 10:30 a.m. |
Created at: March 20, 2026, 1:28 p.m.