Triple
T34725906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African Girl |
E1001066
|
entity |
| Predicate | continentCelebrated |
P179027
|
FINISHED |
| Object | Africa |
—
|
NE NERFINISHED |
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: Africa | Statement: [African Girl, continentCelebrated, Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentCelebrated Context triple: [African Girl, continentCelebrated, Africa]
-
A.
isCelebratedIn
Indicates that an event, person, or occasion is honored, observed, or commemorated within a particular place, time, or context.
-
B.
heritageCelebratedBy
chosen
Indicates that a particular heritage, tradition, or cultural legacy is honored, recognized, or celebrated by a specific person, group, or community.
-
C.
celebratedThrough
Indicates that something is honored, recognized, or observed by means of a particular activity, medium, or practice.
-
D.
continentalAchievement
Indicates an achievement or accomplishment that is recognized at the level of an entire continent, typically in competition, performance, or impact spanning multiple countries within that continent.
-
E.
coveredCountry
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
- 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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: May 3, 2026, 3:59 p.m.