Triple
T5090110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph of Arimathea |
E114731
|
entity |
| Predicate | tombOwnership |
P60667
|
FINISHED |
| Object | his own tomb |
—
|
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: his own tomb | Statement: [Joseph of Arimathea, tombOwnership, his own tomb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tombOwnership Context triple: [Joseph of Arimathea, tombOwnership, his own tomb]
-
A.
tombNumber
Indicates the specific identifying number assigned to a particular tomb within a set of tombs.
-
B.
tombFinancedBy
Indicates that the construction, maintenance, or creation of a tomb was paid for or financially supported by a specified agent or source.
-
C.
excavatedTomb
Indicates that one entity has uncovered or dug out a tomb as part of an excavation process.
-
D.
hasBurialsFrom
Indicates that a location or site contains burials originating from a specified time period, culture, or source.
-
E.
hasBurialVault
Indicates that an entity possesses or is associated with a specific burial vault used for interment or storage of remains.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75407e6881908d00377a256ff37e |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd715c0a448190afc837c6c31dc6ab |
completed | March 20, 2026, 4:10 p.m. |
| PDg | Predicate description generation | batch_69bd72b8d7a88190ad53fae64f17e22c |
completed | March 20, 2026, 4:15 p.m. |
Created at: March 20, 2026, 1:40 p.m.