Triple
T31943863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V_tb |
E815594
|
entity |
| Predicate | belongsToRow |
P61231
|
FINISHED |
| Object | third row of CKM matrix |
—
|
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: third row of CKM matrix | Statement: [V_tb, belongsToRow, third row of CKM matrix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToRow Context triple: [V_tb, belongsToRow, third row of CKM matrix]
-
A.
rowInAssociation
chosen
Indicates that one entity functions as a specific row or record within an association or associative structure involving another entity.
-
B.
belongsToMode
Indicates that something is associated with, or is a member of, a particular mode or operational state.
-
C.
belongsToPattern
Indicates that something is a component, instance, or member of a specified pattern or structured template.
-
D.
belongsToUN
Indicates that an entity is a member of, or formally affiliated with, the United Nations.
-
E.
belongsToUnion
Indicates that an entity is a member of, or affiliated with, a specific union organization.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feabcda59481908f2bc13b46fcced1 |
completed | May 9, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69feaabd63f88190b30dcf6dd2ea39d1 |
completed | May 9, 2026, 3:32 a.m. |
Created at: May 1, 2026, 12:06 a.m.