Triple
T37998436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Michael’s Chapel, Canterbury Cathedral |
E948024
|
entity |
| Predicate | hasBurialMonuments |
P133766
|
FINISHED |
| Object | medieval alabaster effigies |
—
|
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: medieval alabaster effigies | Statement: [St Michael’s Chapel, Canterbury Cathedral, hasBurialMonuments, medieval alabaster effigies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBurialMonuments Context triple: [St Michael’s Chapel, Canterbury Cathedral, hasBurialMonuments, medieval alabaster effigies]
-
A.
hasBurialMonumentType
chosen
Indicates that an entity is associated with a burial whose monument is of a specified type.
-
B.
hasBurialsFrom
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
C.
hasNotableBurials
Indicates that a place, typically a cemetery or burial site, contains the graves or remains of individuals considered notable or significant.
-
D.
hasTombs
Indicates that one entity possesses, contains, or is the location of one or more tombs associated with another entity.
-
E.
hasBurialsOf
Indicates that a location or site contains or includes the burial places of certain individuals or groups.
- F. None of above.
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_69f76efa37088190be5416b7ef1ca275 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:20 p.m.