Triple
T29290058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran vs Portugal (2018 FIFA World Cup Group B) |
E742635
|
entity |
| Predicate | IranCoach |
P2169
|
FINISHED |
| Object | Carlos Queiroz |
—
|
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: Carlos Queiroz | Statement: [Iran vs Portugal (2018 FIFA World Cup Group B), IranCoach, Carlos Queiroz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IranCoach Context triple: [Iran vs Portugal (2018 FIFA World Cup Group B), IranCoach, Carlos Queiroz]
-
A.
PersianCommander
Indicates that an entity serves as a military commander for, or in the context of, the Persian forces or Persian polity.
-
B.
Eric Bakhtiari
Indicates a relationship or action involving the entity named "Eric Bakhtiari," such as participation, association, or attribution connected to him.
-
C.
Ianis Hagi
Indicates a relationship or action involving Ianis Hagi, though the specific nature of the predicate is unclear without additional context.
-
D.
coachOf
chosen
Indicates that one entity serves as the coach (trainer or manager) of another entity, typically a person or team.
-
E.
نوقشفي
Indicates that something or someone was discussed or debated within a particular context or setting.
- 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_69f6653fd31c8190af982a019dfe645e |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:01 p.m.