Triple
T29290055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran vs Portugal (2018 FIFA World Cup Group B) |
E742635
|
entity |
| Predicate | PortugalFinalGroupPosition |
P169675
|
FINISHED |
| Object | second in Group B |
—
|
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: second in Group B | Statement: [Iran vs Portugal (2018 FIFA World Cup Group B), PortugalFinalGroupPosition, second in Group B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PortugalFinalGroupPosition Context triple: [Iran vs Portugal (2018 FIFA World Cup Group B), PortugalFinalGroupPosition, second in Group B]
-
A.
portugalScore
Indicates that a scoring event or point total is attributed to Portugal in a given context (such as a match, game, or competition).
-
B.
PortugalGoalscorer
Indicates that an entity is a player who scored a goal for the Portugal national football team in a given match or context.
-
C.
PortugalAdvancedTo
Indicates that Portugal progressed to the next stage or round in a competition or tournament.
-
D.
rankInPortugal
Indicates the position or standing that something holds within a ranking specific to Portugal.
-
E.
PortugalGoalType
Indicates the type or category of a goal scored by the Portugal team (e.g., penalty, free kick, open play).
- 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_69f68048391c8190abe6580678f8a9ef |
completed | May 2, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f67f7e116c819099aec724e9ef3763 |
completed | May 2, 2026, 10:49 p.m. |
Created at: April 28, 2026, 1:01 p.m.