Triple
T3147341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris 2024 mascots |
E65794
|
entity |
| Predicate | marketingForm |
P46381
|
FINISHED |
| Object | plush toy |
—
|
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: plush toy | Statement: [Paris 2024 mascots, marketingForm, plush toy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingForm Context triple: [Paris 2024 mascots, marketingForm, plush toy]
-
A.
marketForm
Indicates the type or structure of the market in which an entity operates or a transaction occurs.
-
B.
formsIn
Indicates that one entity takes shape, develops, or comes into existence within or inside another entity.
-
C.
helpedForm
Indicates that one entity contributed significantly to the creation, establishment, or founding of another entity.
-
D.
formTreatment
Indicates that one entity creates, establishes, or defines a particular treatment or therapeutic regimen for another entity.
-
E.
benefitForm
Indicates that one entity is a specific form, type, or variant in which a benefit is provided or realized for 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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59a54188190a2e020fd4004d734 |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:05 p.m.