Triple
T33878867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moor House |
E868428
|
entity |
| Predicate | associatedWithNearby |
P19735
|
FINISHED |
| Object |
St. John’s parish in Morton
St. John’s parish in Morton is a local Church of England parish serving the Morton community with regular worship, pastoral care, and community activities.
|
E2070955
|
NE FINISHED |
How this triple was built (3 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. John’s parish in Morton | Statement: [Moor House, associatedWithNearby, St. John’s parish in Morton]
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. John’s parish in Morton Triple: [Moor House, associatedWithNearby, St. John’s parish in Morton]
Generated description
St. John’s parish in Morton is a local Church of England parish serving the Morton community with regular worship, pastoral care, and community activities.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithNearby Context triple: [Moor House, associatedWithNearby, St. John’s parish in Morton]
-
A.
nearbyTo
Indicates that one entity is located close in distance or position to another entity.
-
B.
associatedWithLocality
chosen
Indicates a relationship where something has a connection or relevance to a specific geographic place or locality.
-
C.
hasNearbyCommon
Indicates that two entities share at least one common element, feature, or connection that is located within a specified nearby distance or vicinity.
-
D.
nearPass
Indicates that one entity moves or travels close to another entity without necessarily making direct contact or interaction.
-
E.
nearbyLocationUsedBy
Indicates that one entity makes use of another entity that is located in close physical proximity.
- F. None of above.
Provenance (6 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36762c4df881908ebcbdba7dc99957 |
completed | June 20, 2026, 11:14 a.m. |
| NEDg | Description generation | batch_6a3676e5580481909e03b3dd56759d5b |
completed | June 20, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36777b4a148190acef5b6319f329a6 |
completed | June 20, 2026, 11:20 a.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:48 a.m.