Triple
T15397451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Architecture Festival awards |
E368212
|
entity |
| Predicate | includesPrize |
P111313
|
FINISHED |
| Object | trophy |
—
|
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: trophy | Statement: [World Architecture Festival awards, includesPrize, trophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPrize Context triple: [World Architecture Festival awards, includesPrize, trophy]
-
A.
isPrizedFor
Indicates that something is highly valued or esteemed because of a particular quality, feature, or benefit it provides.
-
B.
hasAdditionalPrizes
Indicates that an entity offers or is associated with extra prizes beyond the primary or standard ones.
-
C.
hasCompetitionPrize
chosen
Indicates that an entity awards or is associated with a specific prize given in the context of a competition.
-
D.
prizeType
Indicates the specific category or kind of prize associated with an entity or event.
-
E.
prizeContext
Indicates the situational or contextual circumstances under which a prize is awarded, considered, or relevant.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8c5d40819086622b70edcb6294 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.