Triple
T28737936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zénith Paris |
E730851
|
entity |
| Predicate | genreOfEventsHosted |
P58154
|
FINISHED |
| Object | rock concerts |
—
|
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: rock concerts | Statement: [Zénith Paris, genreOfEventsHosted, rock concerts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfEventsHosted Context triple: [Zénith Paris, genreOfEventsHosted, rock concerts]
-
A.
genreOfDescribedEvents
Indicates that one entity specifies the genre or type category of the events described by another entity.
-
B.
festivalTypeHosted
Indicates that a particular location or organizer hosts festivals of a specified type.
-
C.
hostsTypeOfEvent
chosen
Indicates that an entity organizes or provides the venue for a particular type or category of event.
-
D.
hasHostedVenue
Indicates that a particular venue has served as the location for hosting a specific event or activity.
-
E.
alsoHostedEventType
Indicates that the same host was responsible for organizing or holding another event of a specified type.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 6:01 a.m.