Triple
T19012817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of London coat of arms |
E465269
|
entity |
| Predicate | hasSupporterDetail |
P134121
|
FINISHED |
| Object | wings charged with a cross of St George |
—
|
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: wings charged with a cross of St George | Statement: [City of London coat of arms, hasSupporterDetail, wings charged with a cross of St George]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSupporterDetail Context triple: [City of London coat of arms, hasSupporterDetail, wings charged with a cross of St George]
-
A.
hasSupporter
Indicates that one entity supports, endorses, or backs another entity.
-
B.
hasSupporterGroup
Indicates that an entity is associated with a group of supporters that backs, promotes, or advocates for it.
-
C.
hasSupporterNickname
Indicates that an entity is associated with a nickname or informal name used specifically by its supporters or fans.
-
D.
hasSupportersSection
Indicates that something includes a dedicated section or area specifically intended for its supporters.
-
E.
hasSupporterOwnershipElement
Indicates that an entity includes or is associated with an ownership-related element specifically tied to a supporter.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a9bac8819093f9af57000667b0 |
completed | April 20, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 12:02 p.m.