Triple
T5593187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kokota |
E146929
|
entity |
| Predicate | hasDemonstrativeSystem |
P64952
|
FINISHED |
| Object | three-way distance contrast |
—
|
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: three-way distance contrast | Statement: [Kokota, hasDemonstrativeSystem, three-way distance contrast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDemonstrativeSystem Context triple: [Kokota, hasDemonstrativeSystem, three-way distance contrast]
-
A.
hasPronounSystem
Indicates that an entity possesses or employs a particular system or set of rules for using pronouns.
-
B.
hasDemonstration
Indicates that one entity includes, is accompanied by, or is associated with a demonstration or illustrative example of another entity or concept.
-
C.
hasTypeOfDemonstration
Indicates that an event or action is characterized by a specific kind or category of demonstration.
-
D.
demonstratedOn
Indicates that an action, behavior, or property is shown, illustrated, or proven using a particular entity as the example or subject.
-
E.
hasDominanceSystem
Indicates that one entity maintains a structured hierarchy of power or control over others within a social or organizational system.
- F. None of above. chosen
Provenance (4 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020bb08648190ab1f66cc3e897e6d |
completed | March 22, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69c01b16b9bc8190ab0b945507d90e05 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:38 p.m.