Triple
T9629791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shunpanrō |
E232567
|
entity |
| Predicate | hasCommemorativeRoom |
P75587
|
FINISHED |
| Object | Treaty signing room |
—
|
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: Treaty signing room | Statement: [Shunpanrō, hasCommemorativeRoom, Treaty signing room]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommemorativeRoom Context triple: [Shunpanrō, hasCommemorativeRoom, Treaty signing room]
-
A.
hasCommemorativeStructure
chosen
Indicates that one entity possesses or is associated with a physical structure created to honor, remember, or commemorate another entity or event.
-
B.
hasMemorialMuseum
Indicates that a memorial museum is dedicated to, associated with, or established in honor of a particular entity.
-
C.
hasCommemorationFunction
Indicates that something serves the role or purpose of commemorating an event, person, group, or concept.
-
D.
hasCommemorativePlaques
Indicates that one entity possesses or displays commemorative plaques associated with it.
-
E.
hasMemorial
Indicates that a memorial exists in honor of, or dedicated to, a particular entity.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b01863c8190a9ec4684804f96bc |
completed | April 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:10 p.m.