Triple
T2801508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk, England |
E53163
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Ixworth
Ixworth is a historic village and civil parish in Suffolk, England, known for its medieval architecture and rural character.
|
E299707
|
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: Ixworth | Statement: [Suffolk, England, containsSettlement, Ixworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ixworth Context triple: [Suffolk, England, containsSettlement, Ixworth]
-
A.
Wexford
Wexford is a historic coastal town in County Wexford, Ireland, known for its medieval heritage and role in events such as the 1649 siege during the Cromwellian conquest.
-
B.
Rosslare
Rosslare is a coastal village and ferry port in County Wexford, Ireland, known for its maritime links to continental Europe and popular seaside resort.
-
C.
Attleborough
Attleborough is a market town and civil parish in the English county of Norfolk.
-
D.
St Ives
St Ives is a picturesque seaside town in Cornwall, England, renowned for its sandy beaches, fishing heritage, and vibrant arts scene.
-
E.
Frome
Frome is a historic market town in Somerset, England, known for its well-preserved architecture, independent shops, and vibrant arts and cultural scene.
- 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: Ixworth Triple: [Suffolk, England, containsSettlement, Ixworth]
Generated description
Ixworth is a historic village and civil parish in Suffolk, England, known for its medieval architecture and rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ixworth Target entity description: Ixworth is a historic village and civil parish in Suffolk, England, known for its medieval architecture and rural character.
-
A.
Wexford
Wexford is a historic coastal town in County Wexford, Ireland, known for its medieval heritage and role in events such as the 1649 siege during the Cromwellian conquest.
-
B.
Rosslare
Rosslare is a coastal village and ferry port in County Wexford, Ireland, known for its maritime links to continental Europe and popular seaside resort.
-
C.
Attleborough
Attleborough is a market town and civil parish in the English county of Norfolk.
-
D.
St Ives
St Ives is a picturesque seaside town in Cornwall, England, renowned for its sandy beaches, fishing heritage, and vibrant arts scene.
-
E.
Frome
Frome is a historic market town in Somerset, England, known for its well-preserved architecture, independent shops, and vibrant arts and cultural scene.
- 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.