Triple
T8899501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ickleford |
E211891
|
entity |
| Predicate | parishChurchDedication |
P2739
|
FINISHED |
| Object |
St Katharine
St Katharine is a Christian saint traditionally venerated as a learned virgin martyr, often associated with wisdom and scholarship.
|
E764493
|
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: St Katharine | Statement: [Ickleford, parishChurchDedication, St Katharine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St Katharine Context triple: [Ickleford, parishChurchDedication, St Katharine]
-
A.
St Catharine’s
St Catharine’s is a constituent college of the University of Cambridge known for its central location and strong academic community.
-
B.
St Margarets
St Margarets is a suburban residential area in southwest London known for its village-like feel, period housing, and proximity to the River Thames and Richmond.
-
C.
Homerton
Homerton is a residential district in East London known for its diverse community, Victorian and post-war housing, and proximity to Hackney’s cultural and creative hubs.
-
D.
St Marys
St Marys is a small coastal village on Mainland, the largest island of Orkney in northern Scotland.
-
E.
St Edward's
St Edward's is a co-educational independent boarding and day school in Oxford, England, known for its strong academic and extracurricular programs.
- 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: St Katharine Triple: [Ickleford, parishChurchDedication, St Katharine]
Generated description
St Katharine is a Christian saint traditionally venerated as a learned virgin martyr, often associated with wisdom and scholarship.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: St Katharine Target entity description: St Katharine is a Christian saint traditionally venerated as a learned virgin martyr, often associated with wisdom and scholarship.
-
A.
St Catharine’s
St Catharine’s is a constituent college of the University of Cambridge known for its central location and strong academic community.
-
B.
St Margarets
St Margarets is a suburban residential area in southwest London known for its village-like feel, period housing, and proximity to the River Thames and Richmond.
-
C.
Homerton
Homerton is a residential district in East London known for its diverse community, Victorian and post-war housing, and proximity to Hackney’s cultural and creative hubs.
-
D.
St Marys
St Marys is a small coastal village on Mainland, the largest island of Orkney in northern Scotland.
-
E.
St Edward's
St Edward's is a co-educational independent boarding and day school in Oxford, England, known for its strong academic and extracurricular programs.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64278b208190afc3dec64ecdb0f5 |
completed | April 1, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfac10be588190bd1b44f09ded7826 |
completed | April 3, 2026, 12:01 p.m. |
| NEDg | Description generation | batch_69cfacc9b53081909bd3505cff0a7722 |
completed | April 3, 2026, 12:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad73f7a8819089ee3dadf321220e |
completed | April 3, 2026, 12:07 p.m. |
Created at: March 30, 2026, 6:54 p.m.