Triple
T6465918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shichi-Go-San ceremonies |
E142231
|
entity |
| Predicate | ageFiveTerm |
P70959
|
FINISHED |
| Object | go-sai |
—
|
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: go-sai | Statement: [Shichi-Go-San ceremonies, ageFiveTerm, go-sai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageFiveTerm Context triple: [Shichi-Go-San ceremonies, ageFiveTerm, go-sai]
-
A.
hasFifthTerm
Indicates that an ordered sequence or series possesses a defined fifth element or term.
-
B.
ageInPlay
Indicates that an entity’s age is relevant or applicable within the context of a particular play, game, or interactive scenario.
-
C.
numberOfAges
Indicates the count of distinct ages associated with an entity or within a specified group or context.
-
D.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
E.
transitionAge
Indicates a change in state or status of an entity from one defined phase, condition, or category to another at a particular point or period in time.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a1159ec81909bbfa9a9d6fa1616 |
completed | March 22, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69c0673d46a08190bc8bcd29f9555fe7 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c067da970481908a038995ba7dfb4b |
completed | March 22, 2026, 10:06 p.m. |
Created at: March 22, 2026, 4:49 p.m.