Triple
T5003405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkansas Travelers |
E112426
|
entity |
| Predicate | affiliateLevelOf |
P61427
|
FINISHED |
| Object | Seattle Mariners farm system |
—
|
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: Seattle Mariners farm system | Statement: [Arkansas Travelers, affiliateLevelOf, Seattle Mariners farm system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affiliateLevelOf Context triple: [Arkansas Travelers, affiliateLevelOf, Seattle Mariners farm system]
-
A.
membershipLevelAbove
Indicates that one entity’s membership level is ranked higher or more privileged than another entity’s membership level.
-
B.
sponsorLevel
Indicates the degree or tier of sponsorship that one entity provides to another.
-
C.
affiliateOfType
Indicates that an affiliate entity belongs to, or is categorized under, a specific type or classification.
-
D.
loyaltyProgramTierOf
Indicates the specific loyalty or rewards program tier that an entity (such as a customer or account) belongs to.
-
E.
membershipLevelBelow
Indicates that one entity’s membership level is ranked lower or less privileged than another entity’s membership level.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd74713fc88190916c2b04cd2e677e |
completed | March 20, 2026, 4:23 p.m. |
Created at: March 20, 2026, 1:35 p.m.