Triple
T12950903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Cross |
E309887
|
entity |
| Predicate | isOftenInsigniaType |
P95931
|
FINISHED |
| Object | sash with badge |
—
|
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: sash with badge | Statement: [Grand Cross, isOftenInsigniaType, sash with badge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenInsigniaType Context triple: [Grand Cross, isOftenInsigniaType, sash with badge]
-
A.
hasTypeOfInsignia
Indicates that an entity bears or is associated with a specific kind or category of insignia.
-
B.
hasInsigniaComponent
chosen
Indicates that an entity includes, bears, or is composed of a particular insignia or emblem as one of its components.
-
C.
insigniaName
Indicates the specific name or designation assigned to an insignia associated with an entity.
-
D.
hasInsigniaWornBy
Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
-
E.
insigniaUsedFor
Indicates that a particular insignia is employed or designated for a specific purpose, function, or use.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97dba57988190b786ffed55687a72 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.