Triple
T11549659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inari |
E273856
|
entity |
| Predicate | hasFestival |
P3113
|
FINISHED |
| Object |
Hatsu-uma
Hatsu-uma is a traditional Japanese festival day in early February dedicated to the deity Inari, marked by shrine visits and rituals for prosperity and good harvests.
|
E932235
|
NE FINISHED |
How this triple was built (4 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: Hatsu-uma | Statement: [Inari, hasFestival, Hatsu-uma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatsu-uma Context triple: [Inari, hasFestival, Hatsu-uma]
-
A.
Takifugu rubripes
Takifugu rubripes is a species of pufferfish notable for its compact, well-annotated genome and its importance as a model organism in vertebrate genetics and developmental biology.
-
B.
Lamut
Lamut is an indigenous Siberian people of northeastern Russia, more commonly known as the Even.
-
C.
Ebi
Ebi is a short form of the German given name Eberhard, typically used as an affectionate nickname.
-
D.
Omura
Omura is a coastal city in western Japan known for its proximity to Nagasaki, Omura Bay, and its regional industrial and transportation hubs.
-
E.
Masago
Masago is the wife of the murdered samurai in Ryūnosuke Akutagawa’s short story "In a Grove," whose conflicting testimony is central to the tale’s exploration of truth and perspective.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hatsu-uma Triple: [Inari, hasFestival, Hatsu-uma]
Generated description
Hatsu-uma is a traditional Japanese festival day in early February dedicated to the deity Inari, marked by shrine visits and rituals for prosperity and good harvests.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hatsu-uma Target entity description: Hatsu-uma is a traditional Japanese festival day in early February dedicated to the deity Inari, marked by shrine visits and rituals for prosperity and good harvests.
-
A.
Takifugu rubripes
Takifugu rubripes is a species of pufferfish notable for its compact, well-annotated genome and its importance as a model organism in vertebrate genetics and developmental biology.
-
B.
Lamut
Lamut is an indigenous Siberian people of northeastern Russia, more commonly known as the Even.
-
C.
Ebi
Ebi is a short form of the German given name Eberhard, typically used as an affectionate nickname.
-
D.
Omura
Omura is a coastal city in western Japan known for its proximity to Nagasaki, Omura Bay, and its regional industrial and transportation hubs.
-
E.
Masago
Masago is the wife of the murdered samurai in Ryūnosuke Akutagawa’s short story "In a Grove," whose conflicting testimony is central to the tale’s exploration of truth and perspective.
- F. None of above. chosen
Provenance (5 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e615b08190a072924329a94a6a |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e685e7e6488190a3704e2028df5add |
completed | April 20, 2026, 8 p.m. |
| NEDg | Description generation | batch_69e68fdacb688190aa52e02bf1816a75 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6b7d683448190b7557bffd92b3ad6 |
completed | April 20, 2026, 11:33 p.m. |
Created at: April 8, 2026, 9:37 p.m.