Triple
T12708792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bardwell |
E303657
|
entity |
| Predicate | hasNearbyVillage |
P4647
|
FINISHED |
| Object | Ixworth |
E299707
|
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: Ixworth | Statement: [Bardwell, hasNearbyVillage, Ixworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ixworth Context triple: [Bardwell, hasNearbyVillage, Ixworth]
-
A.
Ixworth
chosen
Ixworth is a historic village and civil parish in Suffolk, England, known for its medieval architecture and rural character.
-
B.
Enniscorthy
Enniscorthy is a historic market town in southeastern Ireland known for its role in the 1798 Rebellion and its location on the River Slaney.
-
C.
Gorey
Gorey is a market town in northeastern County Wexford, Ireland, known as a growing commuter hub with access to the southeast coast.
-
D.
Balbriggan
Balbriggan is a coastal town in north County Dublin, Ireland, known for its fishing harbour, beaches, and growing commuter population.
-
E.
Arklow
Arklow is a coastal town in eastern Ireland known historically for its maritime industry and scenic location at the mouth of the River Avoca.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96207b2d881908314efc3e350aa78 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671b648f48190a29924c484713fc7 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:23 p.m.