Triple
T35281342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memorymoog |
E1018940
|
entity |
| Predicate | envelopeDestinations |
P182996
|
FINISHED |
| Object | filter |
—
|
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: filter | Statement: [Memorymoog, envelopeDestinations, filter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: envelopeDestinations Context triple: [Memorymoog, envelopeDestinations, filter]
-
A.
locationOfRecipients
Indicates the place or geographic area where the intended recipients of something are situated.
-
B.
mailedTo
Indicates that something was sent or delivered by mail from one entity to another as the recipient.
-
C.
envelopeShapes
Indicates a relationship where one entity defines or determines the geometric or boundary shape(s) that enclose or outline another entity.
-
D.
FrankDestination
Indicates a relationship where an entity serves as the intended destination or endpoint associated with Frank.
-
E.
enveloped
Indicates that one entity is completely or largely surrounded, covered, or enclosed by another.
- 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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f795b5228c8190adb5bf86e581f70c |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f79527c7bc8190a69d87bec01f65c8 |
completed | May 3, 2026, 6:34 p.m. |
Created at: May 3, 2026, 4:03 p.m.