Triple
T29290061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran vs Portugal (2018 FIFA World Cup Group B) |
E742635
|
entity |
| Predicate | groupAlsoIncluded |
P150151
|
FINISHED |
| Object | Spain national football team |
—
|
NE NERFINISHED |
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: Spain national football team | Statement: [Iran vs Portugal (2018 FIFA World Cup Group B), groupAlsoIncluded, Spain national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: groupAlsoIncluded Context triple: [Iran vs Portugal (2018 FIFA World Cup Group B), groupAlsoIncluded, Spain national football team]
-
A.
includedMembersOf
Indicates that certain members or elements are contained within, or form part of, a specified group or collection.
-
B.
includeMember
Indicates that one entity contains or has another entity as a member or part of its composition.
-
C.
includedBy
Indicates that one entity is contained within, encompassed by, or treated as a subset or member of another entity.
-
D.
hasMemberAlsoIn
chosen
Indicates that an entity has at least one member who also belongs to another specified group or collection.
-
E.
includesCommonGroups
Indicates that two entities share at least one group or category in common.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 1:01 p.m.