Triple
T29906497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan vs Greece (2014 FIFA World Cup) |
E759549
|
entity |
| Predicate | goalsByGreece |
P174296
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Japan vs Greece (2014 FIFA World Cup), goalsByGreece, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsByGreece Context triple: [Japan vs Greece (2014 FIFA World Cup), goalsByGreece, 0]
-
A.
greekLeagueTitlesWon
Indicates the number of Greek League championship titles that an entity has won.
-
B.
significanceForGreece
Indicates that something holds particular importance, impact, or relevance specifically in the context of Greece.
-
C.
partyRoleOfGreece
Indicates that a specific role or capacity is held by Greece as a party in a given context or agreement.
-
D.
rankByAreaInGreece
Indicates the relative ordering of entities based on their area size within the geographic boundaries of Greece.
-
E.
oneOfMajorGreekEthne
Indicates that an entity belongs to one of the primary traditional Greek ethnic groups (ethne).
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 29, 2026, 6:08 p.m.