Triple
T17589901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the House of Peers of Japan |
E428416
|
entity |
| Predicate | typeOfBodyPresided |
P22870
|
FINISHED |
| Object | aristocratic upper chamber |
—
|
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: aristocratic upper chamber | Statement: [President of the House of Peers of Japan, typeOfBodyPresided, aristocratic upper chamber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfBodyPresided Context triple: [President of the House of Peers of Japan, typeOfBodyPresided, aristocratic upper chamber]
-
A.
bodyTypePresidedOver
Indicates that one body type holds a position of authority, oversight, or governance over another entity or domain.
-
B.
typeOfBody
Indicates that one entity is the classification or kind of physical body that the other entity is.
-
C.
presidingBody
chosen
Indicates the organization or authority that officially oversees, directs, or governs a given event, process, or body.
-
D.
typeOfJurisdictionBody
Indicates that one entity functions as the jurisdictional authority or governing body for the other entity.
-
E.
typeOfClericalBody
Indicates that one entity is a specific kind or category of clerical or religious governing body in relation to another.
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e62d5c81909134e30a6d0f2e20 |
completed | April 19, 2026, 5:36 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fff0348190b899a32da537eaca |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:51 a.m.