Triple
T37016751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johannesburg |
E916101
|
entity |
| Predicate | racedAsThreeYearOldIn |
P55502
|
FINISHED |
| Object | 2002 |
—
|
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: 2002 | Statement: [Johannesburg, racedAsThreeYearOldIn, 2002]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racedAsThreeYearOldIn Context triple: [Johannesburg, racedAsThreeYearOldIn, 2002]
-
A.
racedAsThreeYearOld
chosen
Indicates that the entity participated in at least one race during its three-year-old season.
-
B.
racedAsFourYearOld
Indicates that the entity participated in at least one race during its fourth year of age.
-
C.
racedAsTwoYearOld
Indicates that the entity participated in at least one race during its second year of life.
-
D.
racedAsFiveYearOld
Indicates that the entity participated in a race when it was five years old.
-
E.
wasLeadingTwoYearOldIn
Indicates that an entity held the status of being the top or most successful two-year-old (e.g., in a sport or ranking) within a specified context or period.
- 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_69f76e920dc48190acb6bb7ebc4dffab |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:14 p.m.