Triple
T3112157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Type 99 rifle |
E64975
|
entity |
| Predicate | receiverMarking |
P35261
|
FINISHED |
| Object | Imperial chrysanthemum crest on many rifles |
—
|
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: Imperial chrysanthemum crest on many rifles | Statement: [Type 99 rifle, receiverMarking, Imperial chrysanthemum crest on many rifles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receiverMarking Context triple: [Type 99 rifle, receiverMarking, Imperial chrysanthemum crest on many rifles]
-
A.
reportedMarks
Indicates that an entity has formally communicated or submitted the marks/grades of another entity (such as a student or assessment) to a relevant party or system.
-
B.
receivedFor
Indicates that something was obtained, accepted, or taken into possession on behalf of or for the benefit of a specified entity.
-
C.
receives
Indicates that one entity is the recipient of something (such as an object, message, or action) from another entity.
-
D.
usedMark
chosen
Indicates that one entity has employed or applied a particular mark, symbol, or indicator in some context or action.
-
E.
receiverType
Indicates the category or classification of the entity that receives something (such as a message, resource, or action) in the relationship.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43b0b3c8190a828c9cfcf730ed9 |
completed | March 8, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_69ad9df25d4c81908ff0f6cff55d0563 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:04 p.m.