Triple
T2387534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tilney cum Islington |
E48858
|
entity |
| Predicate | hasHistoricChurches |
P38129
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Tilney cum Islington, hasHistoricChurches, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricChurches Context triple: [Tilney cum Islington, hasHistoricChurches, true]
-
A.
hasCathedralStatusSince
Indicates the point in time from which something has held the official status of a cathedral.
-
B.
hasReconstructedChurch
Indicates that an entity has rebuilt or restored a church, typically after damage, destruction, or disuse.
-
C.
formerCathedral
Indicates that a building once held the status and function of a cathedral but no longer does.
-
D.
hasNumberOfChurches
Indicates the relationship that specifies how many churches are associated with a given entity.
-
E.
hasCathedralDenomination
Indicates the religious denomination with which a cathedral is affiliated or to which it belongs.
- F. None of above. chosen
Provenance (4 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc7db4ee08190a5c114e42bc46f70 |
completed | March 7, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69abc5a1b5748190b4cd8989700f4dd2 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc682d094819081a96ffb77c4c42a |
completed | March 7, 2026, 6:32 a.m. |
Created at: March 4, 2026, 7:57 p.m.