Triple
T13505862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Leonard’s Church, Hythe |
E321012
|
entity |
| Predicate | ossuaryContains |
P69431
|
FINISHED |
| Object | human skulls |
—
|
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: human skulls | Statement: [St Leonard’s Church, Hythe, ossuaryContains, human skulls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ossuaryContains Context triple: [St Leonard’s Church, Hythe, ossuaryContains, human skulls]
-
A.
tombContents
chosen
Indicates that a tomb contains or holds specific items, remains, or artifacts within it.
-
B.
excavatedTomb
Indicates that one entity has uncovered or dug out a tomb as part of an excavation process.
-
C.
hasSarcophagusMaterial
Indicates that a sarcophagus is made from, or primarily composed of, a specified material.
-
D.
hasBurialVault
Indicates that an entity possesses or is associated with a specific burial vault used for interment or storage of remains.
-
E.
hasPartInMausoleum
Indicates that an entity is a component, section, or element contained within or forming part of a mausoleum.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf8259a08190ada13c4a3078f07d |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.