Triple
T3388976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elis |
E71370
|
entity |
| Predicate | hostedEventFrequency |
P29070
|
FINISHED |
| Object | every four years (Olympic Games) |
—
|
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: every four years (Olympic Games) | Statement: [Elis, hostedEventFrequency, every four years (Olympic Games)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedEventFrequency Context triple: [Elis, hostedEventFrequency, every four years (Olympic Games)]
-
A.
hasEventFrequency
chosen
Indicates how often a particular event occurs within a given time period.
-
B.
hostedDuring
Indicates that one entity hosted, organized, or held another entity (such as an event or activity) within a specified time period.
-
C.
numberOfEvents
Indicates the quantity or count of events associated with a given entity or context.
-
D.
hostsEvent
Indicates that an entity organizes and provides the venue or setting for an event to take place.
-
E.
countryHostedEvent
Indicates that a specific country served as the host location for a particular event.
- F. None of above.
Provenance (3 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb666e514819090560d43bfaf55b8 |
completed | March 8, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69ada43615f08190ac2275020d157983 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:14 p.m.