Triple
T566948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Marathon Majors |
E13573
|
entity |
| Predicate | eliteCategory |
P4027
|
FINISHED |
| Object | professional marathon runners |
—
|
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: professional marathon runners | Statement: [World Marathon Majors, eliteCategory, professional marathon runners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eliteCategory Context triple: [World Marathon Majors, eliteCategory, professional marathon runners]
-
A.
nobilityClass
Indicates that an entity belongs to, or is associated with, a particular class or rank within a nobility hierarchy.
-
B.
primaryEthnicElite
Indicates that the subject belongs to the main or dominant ethnic group that holds primary political, economic, or social power within a society or institution.
-
C.
membershipPeak
Indicates the time or period at which an entity’s membership in a group or organization reaches its highest level.
-
D.
middleClass
Indicates that an entity belongs to the socioeconomic group characterized as the middle class.
-
E.
memberCategory
chosen
Indicates that an entity belongs to or is classified under a specific category or group.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b01aca48190944408d066519149 |
completed | March 1, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69a494c183b081909304944aa3d0fe8f |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.