Triple
T30922391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohammad Baqer Mirza |
E787761
|
entity |
| Predicate | monarchAsSubject |
P174094
|
FINISHED |
| Object | Shah Safi I |
—
|
NE NERFINISHED |
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: Shah Safi I | Statement: [Mohammad Baqer Mirza, monarchAsSubject, Shah Safi I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchAsSubject Context triple: [Mohammad Baqer Mirza, monarchAsSubject, Shah Safi I]
-
A.
monarchSubjectTo
Indicates that a monarch is politically or legally subordinate to another authority or governing power.
-
B.
monarchIn
Indicates that a person serves as the ruling monarch of a specified country, state, or territory.
-
C.
monarch
Indicates that an entity serves as the sovereign ruler (such as a king, queen, or emperor) over a state or territory.
-
D.
monarchIs
Indicates that one entity serves as the ruling monarch (such as king, queen, or equivalent sovereign) of another entity, typically a state or territory.
-
E.
monarchRole
Indicates that an entity holds or is assigned the role, office, or position of a monarch in relation to a state or domain.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: April 29, 2026, 8:51 p.m.