Triple
T31689707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mocs |
E808755
|
entity |
| Predicate | primaryFieldSport |
P1080
|
FINISHED |
| Object | football |
—
|
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: football | Statement: [Mocs, primaryFieldSport, football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFieldSport Context triple: [Mocs, primaryFieldSport, football]
-
A.
primarySport
chosen
Indicates the main sport with which an entity (such as a person, team, or organization) is most closely associated or primarily involved.
-
B.
primarySports
Indicates that a particular sport is the main or most important sport associated with an entity (such as a person, team, or organization).
-
C.
primarySportsCategory
Indicates the main type of sport under which an entity, such as an event, team, or activity, is classified.
-
D.
primarySportsProperty
Indicates that the relationship identifies the main or most significant sports-related attribute or characteristic associated with an entity.
-
E.
primaryArenaSport
Indicates the main sport that is primarily played or hosted in a given arena.
- 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_69f348ddcbc48190950cabcc25ff29b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 11:08 p.m.