Triple
T3864215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishopric of Thérouanne |
E91810
|
entity |
| Predicate | suppressedYear |
P28109
|
FINISHED |
| Object | 1553 |
—
|
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: 1553 | Statement: [Bishopric of Thérouanne, suppressedYear, 1553]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suppressedYear Context triple: [Bishopric of Thérouanne, suppressedYear, 1553]
-
A.
suppressionYear
chosen
Indicates the year in which the referenced activity, expression, or entity was formally suppressed, halted, or forcibly discontinued.
-
B.
suppressedDuring
Indicates that one event, action, or state is actively prevented, inhibited, or held back while another specified event, condition, or time period is occurring.
-
C.
claimedYear
Indicates the year that is asserted or reported as being associated with an event, status, or fact, regardless of whether it is verified.
-
D.
censorshipYear
Indicates the year in which an act of censorship was imposed on the referenced content or entity.
-
E.
yearBlinded
Indicates the specific year in which an entity became blinded or lost its sight.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3871d881909c6c8e6d08203801 |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.