Triple
T31274230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imjingak Resort |
E797472
|
entity |
| Predicate | hasPeaceBell |
P11115
|
FINISHED |
| Object | Imjingak Peace Bell |
—
|
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: Imjingak Peace Bell | Statement: [Imjingak Resort, hasPeaceBell, Imjingak Peace Bell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeaceBell Context triple: [Imjingak Resort, hasPeaceBell, Imjingak Peace Bell]
-
A.
hasBellChamber
Indicates that an entity possesses or includes a bell chamber as one of its structural or functional components.
-
B.
hasBells
chosen
Indicates that an entity possesses or is equipped with one or more bells.
-
C.
typeOfPeace
Indicates a relationship where one entity specifies or classifies the particular kind or category of peace associated with another entity.
-
D.
hasPeaceAccord
Indicates that a formal peace agreement or treaty exists between the related entities, establishing terms to end or prevent conflict.
-
E.
hasBellTower
Indicates that one entity (typically a building or structure) possesses or includes a bell tower as part of it.
- 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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: April 29, 2026, 9:13 p.m.