Triple
T4377094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gothia Cup |
E99032
|
entity |
| Predicate | hasRefereesFrom |
P56468
|
FINISHED |
| Object | multiple countries |
—
|
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: multiple countries | Statement: [Gothia Cup, hasRefereesFrom, multiple countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRefereesFrom Context triple: [Gothia Cup, hasRefereesFrom, multiple countries]
-
A.
canRefer
Indicates that one entity has the ability or permission to mention, point to, or direct attention to another entity.
-
B.
hasJudge
Indicates that a legal case, proceeding, or decision is presided over or decided by a particular judge.
-
C.
hasSubJuries
Indicates that an entity (typically a main jury or committee) is composed of or associated with one or more subordinate juries.
-
D.
hasJudgesRole
Indicates that an entity serves in the capacity or role of a judge within a specified context or system.
-
E.
hasParticipants
Indicates that an event, activity, or situation involves one or more entities as participants in it.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3523ed220819090cef1a7933489d9 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b35034cd248190bae09e9d090e13ec |
completed | March 12, 2026, 11:45 p.m. |
Created at: March 12, 2026, 11:18 p.m.