Triple
T19979914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferns |
E493789
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ferns Cathedral parish
Ferns Cathedral parish is an ecclesiastical parish centered on the historic cathedral town of Ferns in County Wexford, Ireland.
|
E1404028
|
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: Ferns Cathedral parish | Statement: [Ferns, contains, Ferns Cathedral parish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferns Cathedral parish Context triple: [Ferns, contains, Ferns Cathedral parish]
-
A.
Farnell parish church
Farnell parish church is a historic Church of Scotland parish church serving the rural community of Farnell in Angus, Scotland.
-
B.
Ceres Parish Church
Ceres Parish Church is a historic Church of Scotland parish church serving the village of Ceres in Fife.
-
C.
Burngreen Parish Church
Burngreen Parish Church is a Christian place of worship serving the local community in the town of Kilsyth, Scotland.
-
D.
Greenlaw Parish Church
Greenlaw Parish Church is a historic Church of Scotland parish church serving the rural community of Greenlaw in the Scottish Borders.
-
E.
St. Mary Parish Church
St. Mary Parish Church is a historic Christian church serving as a prominent place of worship and local landmark in Port Maria, Jamaica.
- 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: Ferns Cathedral parish Triple: [Ferns, contains, Ferns Cathedral parish]
Generated description
Ferns Cathedral parish is an ecclesiastical parish centered on the historic cathedral town of Ferns in County Wexford, Ireland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ferns Cathedral parish Target entity description: Ferns Cathedral parish is an ecclesiastical parish centered on the historic cathedral town of Ferns in County Wexford, Ireland.
-
A.
Farnell parish church
Farnell parish church is a historic Church of Scotland parish church serving the rural community of Farnell in Angus, Scotland.
-
B.
Ceres Parish Church
Ceres Parish Church is a historic Church of Scotland parish church serving the village of Ceres in Fife.
-
C.
Burngreen Parish Church
Burngreen Parish Church is a Christian place of worship serving the local community in the town of Kilsyth, Scotland.
-
D.
Greenlaw Parish Church
Greenlaw Parish Church is a historic Church of Scotland parish church serving the rural community of Greenlaw in the Scottish Borders.
-
E.
St. Mary Parish Church
St. Mary Parish Church is a historic Christian church serving as a prominent place of worship and local landmark in Port Maria, Jamaica.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d11d2108190bd1d91fdc834888b |
completed | April 20, 2026, 5:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fddbb1fc8190b5e5bd429e80e6d5 |
completed | May 16, 2026, 5:17 a.m. |
| NEDg | Description generation | batch_6a07feea266c81909da71d549a8857d3 |
completed | May 16, 2026, 5:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ff598550819093b6303a88dfefd2 |
completed | May 16, 2026, 5:23 a.m. |
Created at: April 11, 2026, 3:27 p.m.