Triple
T38601407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teleflora |
E934224
|
entity |
| Predicate | occasionServed |
P14787
|
FINISHED |
| Object | birthdays |
—
|
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: birthdays | Statement: [Teleflora, occasionServed, birthdays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occasionServed Context triple: [Teleflora, occasionServed, birthdays]
-
A.
servingOccasion
chosen
Indicates the occasion, event, or context during which something (typically food or drink) is served.
-
B.
occasionType
Indicates the specific kind or category of occasion or event associated with the subject.
-
C.
onOccasionOf
Indicates that one event, action, or state occurs in connection with, or is triggered by, a particular occasion or special event.
-
D.
notableEventServed
Indicates that an entity served in an official or significant capacity during a notable event.
-
E.
primaryOccasion
Indicates that one occasion is the main or most significant event associated with a given context, entity, or activity.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.