Triple
T12620091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 3 Indian Princess gold dollar |
E301355
|
entity |
| Predicate | introducedAsType |
P105944
|
FINISHED |
| Object | Type 3 gold dollar |
—
|
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: Type 3 gold dollar | Statement: [Type 3 Indian Princess gold dollar, introducedAsType, Type 3 gold dollar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAsType Context triple: [Type 3 Indian Princess gold dollar, introducedAsType, Type 3 gold dollar]
-
A.
introducedAsNameIn
Indicates that an entity is presented or referred to by a particular name within a specified context or source.
-
B.
introducedAsModel
Indicates that one entity is presented or identified to others in the role or capacity of a model.
-
C.
introducedVia
Indicates that one entity was brought to the attention, presence, or awareness of another entity through a specific intermediary, method, or channel.
-
D.
introduced
Indicates that one entity caused another entity to become known, presented, or brought into use for the first time to a person, group, or context.
-
E.
classIntroduced
Indicates that a particular class (e.g., in a programming language or system) has been newly defined or made available within a given context or scope.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d96179c7648190a05a13991d62bebb |
completed | April 10, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:13 p.m.