Triple
T9689220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanja Matsuri |
E234494
|
entity |
| Predicate | hasMikoshi |
P89637
|
FINISHED |
| Object | three main mikoshi of Asakusa Shrine |
—
|
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: three main mikoshi of Asakusa Shrine | Statement: [Sanja Matsuri, hasMikoshi, three main mikoshi of Asakusa Shrine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMikoshi Context triple: [Sanja Matsuri, hasMikoshi, three main mikoshi of Asakusa Shrine]
-
A.
hasBoat
Indicates that one entity possesses, owns, or has control over a boat.
-
B.
hasMuseumShip
Indicates that one entity possesses or is associated with a museum ship, typically a preserved vessel displayed for public exhibition.
-
C.
hasSail
Indicates that one entity possesses or is equipped with a sail used for catching wind.
-
D.
hasSailType
Indicates that an entity is characterized by or equipped with a specific type of sail.
-
E.
hasShipRig
Indicates that an entity is equipped with, or characterized by, a particular type of ship rigging configuration.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d019d40819095059a4d6167900a |
completed | April 1, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b840f081909f66bf0b66d17d9b |
completed | April 1, 2026, 8:22 a.m. |
| PDg | Predicate description generation | batch_69ccd9408c848190b84dd74d87f76273 |
completed | April 1, 2026, 8:37 a.m. |
Created at: March 30, 2026, 8:17 p.m.