Triple
T29290060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran vs Portugal (2018 FIFA World Cup Group B) |
E742635
|
entity |
| Predicate | PortugalNeededDrawToAdvance |
P170161
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Iran vs Portugal (2018 FIFA World Cup Group B), PortugalNeededDrawToAdvance, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PortugalNeededDrawToAdvance Context triple: [Iran vs Portugal (2018 FIFA World Cup Group B), PortugalNeededDrawToAdvance, yes]
-
A.
PortugalAdvancedTo
Indicates that Portugal progressed to the next stage or round in a competition or tournament.
-
B.
portugalScore
Indicates that a scoring event or point total is attributed to Portugal in a given context (such as a match, game, or competition).
-
C.
PortugalGoalType
Indicates the type or category of a goal scored by the Portugal team (e.g., penalty, free kick, open play).
-
D.
PortugalGoalscorer
Indicates that an entity is a player who scored a goal for the Portugal national football team in a given match or context.
-
E.
PortugalFinalGroupPosition
Indicates the final standing or rank that Portugal achieved in its group at the end of a competition’s group stage.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f68b121eac81909e90416207bc1157 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69f68a160374819084d720985f800dfc |
completed | May 2, 2026, 11:34 p.m. |
Created at: April 28, 2026, 1:01 p.m.