Triple
T10286654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillikin Country |
E241244
|
entity |
| Predicate | hasCanonicalMedium |
P91476
|
FINISHED |
| Object | children's fantasy literature |
—
|
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: children's fantasy literature | Statement: [Gillikin Country, hasCanonicalMedium, children's fantasy literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCanonicalMedium Context triple: [Gillikin Country, hasCanonicalMedium, children's fantasy literature]
-
A.
canonicalMedium
chosen
Indicates the primary or standard medium through which something is most authoritatively or typically expressed, distributed, or experienced.
-
B.
hasAssociatedMedium
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
-
C.
isFromMedium
Indicates that something originates from, is derived from, or was obtained via a particular medium or channel.
-
D.
hasCanonicalAspect
Indicates that an entity is associated with its standard or officially recognized aspect, form, or representation.
-
E.
hasPageMedium
Indicates that a page or document is associated with a particular physical or digital medium through which it is presented or stored.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:40 a.m.