Triple
T27729758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mango Loco |
E697398
|
entity |
| Predicate | canDesignTheme |
P163115
|
FINISHED |
| Object | Day of the Dead |
—
|
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: Day of the Dead | Statement: [Mango Loco, canDesignTheme, Day of the Dead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canDesignTheme Context triple: [Mango Loco, canDesignTheme, Day of the Dead]
-
A.
helpsDesign
Indicates that one entity assists or contributes to another entity’s design or design process.
-
B.
dataTheme
Indicates the primary subject area or thematic category that the associated data pertains to.
-
C.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
-
D.
torchDesignTheme
Indicates that a torch is associated with or characterized by a particular design theme.
-
E.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6369a22688190a5674191c90a5d12 |
completed | May 2, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 3:11 p.m.