Triple
T2797019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold and Silver Star |
E53060
|
entity |
| Predicate | hasMaterialInInsignia |
P41055
|
FINISHED |
| Object | gold |
—
|
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: gold | Statement: [Gold and Silver Star, hasMaterialInInsignia, gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaterialInInsignia Context triple: [Gold and Silver Star, hasMaterialInInsignia, gold]
-
A.
hasTypeOfInsignia
Indicates that an entity bears or is associated with a specific kind or category of insignia.
-
B.
hasInsigniaWornBy
Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
-
C.
hasHeirloom
Indicates that one entity possesses or is associated with an heirloom originating from another entity.
-
D.
hasMaterialOption
chosen
Indicates that an entity can be made from, or is available in, one or more alternative materials.
-
E.
hasMottoRibbon
Indicates that an entity features or is associated with a ribbon element specifically used to display a motto.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddf0f4988190bffc3abab7edbb81 |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.