Triple
T2801681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk, England |
E53163
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Horringer
Horringer is a village and civil parish in Suffolk, England, known for its rural character and proximity to the town of Bury St Edmunds.
|
E299774
|
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: Horringer | Statement: [Suffolk, England, containsSettlement, Horringer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horringer Context triple: [Suffolk, England, containsSettlement, Horringer]
-
A.
Hannington
Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
-
B.
Harrold
Harrold is a given name and surname, used as a variant spelling of Harold.
-
C.
Halstead
Halstead is a historic market town in the county of Essex in the East of England.
-
D.
Halnaker
Halnaker is a small village in West Sussex, England, known for its historic windmill and picturesque countryside near the South Downs.
-
E.
Hintonburg
Hintonburg is a historic, arts-oriented urban neighbourhood in west-central Ottawa, known for its mix of residential streets, independent shops, and cultural venues.
- 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: Horringer Triple: [Suffolk, England, containsSettlement, Horringer]
Generated description
Horringer is a village and civil parish in Suffolk, England, known for its rural character and proximity to the town of Bury St Edmunds.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Horringer Target entity description: Horringer is a village and civil parish in Suffolk, England, known for its rural character and proximity to the town of Bury St Edmunds.
-
A.
Hannington
Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
-
B.
Harrold
Harrold is a given name and surname, used as a variant spelling of Harold.
-
C.
Halstead
Halstead is a historic market town in the county of Essex in the East of England.
-
D.
Halnaker
Halnaker is a small village in West Sussex, England, known for its historic windmill and picturesque countryside near the South Downs.
-
E.
Hintonburg
Hintonburg is a historic, arts-oriented urban neighbourhood in west-central Ottawa, known for its mix of residential streets, independent shops, and cultural venues.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde1117148190b0c98f906f1c872e |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66d1e488190a4b85decfb38097f |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc8b12b848190ad514eed2d26a90f |
completed | March 10, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc9413e1881908fc091b98913e1cf |
completed | March 10, 2026, 7:33 a.m. |
Created at: March 6, 2026, 9:58 p.m.