Triple
T161027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korean Armistice Agreement |
E3285
|
entity |
| Predicate | widthOfDMZ |
P619
|
FINISHED |
| Object | approximately 4 kilometers |
—
|
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: approximately 4 kilometers | Statement: [Korean Armistice Agreement, widthOfDMZ, approximately 4 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: widthOfDMZ Context triple: [Korean Armistice Agreement, widthOfDMZ, approximately 4 kilometers]
-
A.
width
chosen
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
-
B.
demarcationType
Indicates the specific way in which a boundary or separation between entities is defined, marked, or categorized.
-
C.
bitWidth
Indicates the number of bits used to represent or encode a given value, type, or data element.
-
D.
numberOfDomes
Indicates the quantity of domes that an entity possesses or is associated with.
-
E.
wingspan
Indicates the distance from the tip of one wing to the tip of the other wing when fully extended.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25856d934819095460b2ea566eb6b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a256623704819089d9eeefe05858ce |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.