Triple
T19748433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praetorium of Pontius Pilate |
E474312
|
entity |
| Predicate | governorTerm |
P137174
|
FINISHED |
| Object | c. 26–36 CE |
—
|
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: c. 26–36 CE | Statement: [Praetorium of Pontius Pilate, governorTerm, c. 26–36 CE]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorTerm Context triple: [Praetorium of Pontius Pilate, governorTerm, c. 26–36 CE]
-
A.
servedAsGovernorUntil
Indicates that an entity held the position of governor up to a specified end date or time.
-
B.
governorRemovedTermNumber
Indicates the specific numbered term from which a governor was removed from office.
-
C.
succeededInOfficeAsGovernorBy
Indicates that one individual’s term as governor ended and was directly followed by another individual’s term in the same office.
-
D.
governorGeneralTermLength
Indicates the length of time a governor general serves in office for a single term.
-
E.
numberOfTermsAsGovernor
Indicates the number of separate terms an individual has served in the role of governor.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65295f3b88190a541354f41e3ea1d |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:47 p.m.