Triple
T62289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bermuda Triangle |
E1237
|
entity |
| Predicate | definition |
P773
|
FINISHED |
| Object | loosely defined region with no official boundaries |
—
|
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: loosely defined region with no official boundaries | Statement: [Bermuda Triangle, definition, loosely defined region with no official boundaries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definition Context triple: [Bermuda Triangle, definition, loosely defined region with no official boundaries]
-
A.
defined
chosen
Indicates that one entity specifies, explains, or establishes the meaning, scope, or identity of another entity.
-
B.
restriction
Indicates a limiting condition or rule that constrains or controls what an entity can do, use, or access in relation to another entity or context.
-
C.
keyTerm
Indicates that a term functions as a primary or central concept within a given context or information structure.
-
D.
division
Indicates a relationship where one entity is separated or partitioned into parts, groups, or sections based on some criterion or operation.
-
E.
is
Indicates that two entities are equivalent, share an attribute, or stand in a specified state or relation to each other.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a251f74b0881909ad89127b8171277 |
completed | Feb. 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69a24ea242c8819086fe00bf01e6523e |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.