Triple
T2889035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pope Leo IX |
E59575
|
entity |
| Predicate | sentDelegationTo |
P17798
|
FINISHED |
| Object | Constantinople in 1054 |
—
|
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: Constantinople in 1054 | Statement: [Pope Leo IX, sentDelegationTo, Constantinople in 1054]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sentDelegationTo Context triple: [Pope Leo IX, sentDelegationTo, Constantinople in 1054]
-
A.
sentMissionTo
chosen
Indicates that one entity dispatched or assigned another entity to carry out a specific mission at a particular destination or context.
-
B.
sentDocumentTo
Indicates that one entity transmitted or delivered a document to another entity.
-
C.
sentOnMissionBy
Indicates that one entity was assigned or dispatched on a mission by another entity.
-
D.
sendingState
Indicates the state that initiates or dispatches something (such as a person, document, or request) to another state or entity.
-
E.
signedTo
Indicates that one entity has formally entered into a contract or agreement with another, typically for representation, employment, or services.
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe04918908190aad08defd1b26d97 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd17bcdc8190aa47274a50ba4ad4 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:04 p.m.