Triple
T1402065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inari Ōkami |
E31605
|
entity |
| Predicate | hasMessenger |
P27590
|
FINISHED |
| Object | fox spirit |
—
|
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: fox spirit | Statement: [Inari Ōkami, hasMessenger, fox spirit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMessenger Context triple: [Inari Ōkami, hasMessenger, fox spirit]
-
A.
hasMIC
Indicates that an entity has a specified Minimum Inhibitory Concentration (MIC) value in relation to an antimicrobial agent.
-
B.
canLiaiseWith
Indicates that one entity is able or permitted to communicate and coordinate directly with another entity for collaboration or information exchange.
-
C.
hasMP
Indicates that an entity is represented by, or associated with, a specific Member of Parliament (MP).
-
D.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
E.
hasApp
Indicates that an entity possesses, provides, or is associated with a particular application.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c39ef554819096c17bca5891829b |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c11067b48190bca6ef3ac1475c20 |
completed | March 1, 2026, 10:43 p.m. |
Created at: March 1, 2026, 7:59 p.m.