Triple
T5772160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 FIFA World Cup |
E127353
|
entity |
| Predicate | broadcastToCountries |
P66336
|
FINISHED |
| Object | over 200 |
—
|
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: over 200 | Statement: [2014 FIFA World Cup, broadcastToCountries, over 200]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcastToCountries Context triple: [2014 FIFA World Cup, broadcastToCountries, over 200]
-
A.
broadcastInLanguage
Indicates that a broadcast, program, or media content is transmitted or made available in a specified language.
-
B.
broadcastGlobally
Indicates that information, content, or a signal is transmitted so it can be received or accessed worldwide, without restriction to a specific region or audience.
-
C.
broadcastFor
Indicates that one entity transmits or disseminates content, information, or a signal on behalf of, or in service of, another entity.
-
D.
broadcastVia
Indicates that an action, message, or content is transmitted or disseminated through a specified medium, channel, or platform.
-
E.
broadcastShareUS
Indicates the proportion of total television or media broadcast audience or time that is attributed to a given entity within the United States.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021d0c6088190ba670ddcdbf5ca3e |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02ac9603481909e3fa295d7904a15 |
completed | March 22, 2026, 5:45 p.m. |
Created at: March 22, 2026, 3:50 p.m.