Triple
T7432878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miles |
E171533
|
entity |
| Predicate | hasThematicType |
P62774
|
FINISHED |
| Object | horse-themed mascot |
—
|
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: horse-themed mascot | Statement: [Miles, hasThematicType, horse-themed mascot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThematicType Context triple: [Miles, hasThematicType, horse-themed mascot]
-
A.
hasThemeType
chosen
Indicates that something is associated with or characterized by a particular thematic category or type.
-
B.
hasThematicConcern
Indicates that one entity (such as a work, text, or discourse) centrally involves, addresses, or focuses on a particular theme, issue, or subject as a primary concern.
-
C.
hasThematicPavilion
Indicates that an entity includes or is associated with a specific thematic pavilion as part of its structure or offerings.
-
D.
containsThemeArea
Indicates that one entity includes or encompasses a specific thematic area as part of its scope or content.
-
E.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
- 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f325ea908190b668fd4ce646f1e6 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:12 p.m.