Triple
T33629245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K2K experiment |
E861502
|
entity |
| Predicate | parentMesonType |
P194092
|
FINISHED |
| Object | pion |
—
|
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: pion | Statement: [K2K experiment, parentMesonType, pion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentMesonType Context triple: [K2K experiment, parentMesonType, pion]
-
A.
parentType
Indicates that one entity serves as the direct parent or higher-level type from which another entity is derived or classified.
-
B.
motherType
Indicates the specific category or role of motherhood that one entity has in relation to another (e.g., biological, adoptive, step).
-
C.
motherInstanceOf
Indicates that a specific mother entity is an instance of a more general mother-related class or category.
-
D.
MAMAType
Indicates a classification relationship where an entity is assigned a specific type or category within the MAMA schema or framework.
-
E.
MPAType
Indicates the specific category or classification of a Marine Protected Area within a protection or management framework.
- 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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
| PDg | Predicate description generation | batch_69fd5f2903a48190ac4b718bff99c6cf |
completed | May 8, 2026, 3:57 a.m. |
Created at: May 1, 2026, 1:41 a.m.