Triple
T13746265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Citizen Festival |
E330217
|
entity |
| Predicate | Mandela 100 year |
P110812
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Global Citizen Festival, Mandela 100 year, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Mandela 100 year Context triple: [Global Citizen Festival, Mandela 100 year, 2018]
-
A.
functionDuringApartheid
Indicates that the function, role, or activity occurred specifically during the historical period of apartheid.
-
B.
firstPresidentOfDemocraticSouthAfricaFromParty
Indicates that a person is the first president of democratic South Africa who is affiliated with a specified political party.
-
C.
timeOfSubjugation
Indicates the point in time at which one entity becomes subjugated or brought under the control of another.
-
D.
hasCenturyOfPersonCommemorated
Indicates the century in which the person being commemorated lived or was active.
-
E.
centuryOfMartyrdom
Indicates the century in which a martyrdom event took place.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0211ba5481909fbd5b447e3d5a02 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59db0148190bcaf9646403ca64f |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 10:08 p.m.