Triple
T26175695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2002 FIFA World Cup third place match against South Korea |
E654533
|
entity |
| Predicate | resultForTurkey |
P168558
|
FINISHED |
| Object | third place |
—
|
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: third place | Statement: [2002 FIFA World Cup third place match against South Korea, resultForTurkey, third place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultForTurkey Context triple: [2002 FIFA World Cup third place match against South Korea, resultForTurkey, third place]
-
A.
statusInTurkey
Indicates the legal, social, or official condition or standing that an entity holds within the context of Turkey.
-
B.
affectedTurkishProvince
Indicates that a Turkish province is impacted or influenced by a specified event, condition, or entity.
-
C.
resultInHungary
Indicates that an action, event, or process leads to an outcome that occurs in or pertains specifically to Hungary.
-
D.
resultForHungary
Indicates the outcome or result associated specifically with Hungary in a given context (such as an event, competition, or measurement).
-
E.
hasPopulationRankInTurkey
Indicates the relative position of an entity in the ordered list of populations within Turkey, such as its rank by population size compared to other entities in the country.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 26, 2026, 8:37 p.m.