Triple
T15490195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of the Classics |
E378661
|
entity |
| Predicate | associatedWithRaceCategory |
P118441
|
FINISHED |
| Object | Monument classic |
—
|
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: Monument classic | Statement: [Queen of the Classics, associatedWithRaceCategory, Monument classic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithRaceCategory Context triple: [Queen of the Classics, associatedWithRaceCategory, Monument classic]
-
A.
hasAssociatedRace
Indicates that an entity is linked to or characterized by a particular race or racial classification.
-
B.
relatedRace
Indicates that there is a connection or association between two races, such as similarity, relevance, or contextual linkage.
-
C.
hasRaceClass
Indicates that an entity participates in or is associated with a particular race classification or category.
-
D.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
E.
hasRace
Indicates that an entity possesses or is characterized by a particular race or racial classification.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded5deee00819099fa3e43313312e1 |
completed | April 15, 2026, 12:03 a.m. |
Created at: April 10, 2026, 3:48 a.m.