Triple
T3393894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akihabara |
E71481
|
entity |
| Predicate | timePeriodOfOtakuCultureBoom |
P21730
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Akihabara, timePeriodOfOtakuCultureBoom, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfOtakuCultureBoom Context triple: [Akihabara, timePeriodOfOtakuCultureBoom, 1990s]
-
A.
decadeOfPopularization
chosen
Indicates the decade during which something became widely known, used, or popular.
-
B.
timePeriodOfMajorExpansion
Indicates the time span during which the referenced entity underwent its most significant growth or expansion.
-
C.
wasDevelopedInPeriod
Indicates that something was created, produced, or brought into existence during a specified time period.
-
D.
timePeriodOrigin
Indicates that one entity is the time period in which the other entity originated or first came into existence.
-
E.
popularInPeriod
Indicates that something is widely liked, used, or influential during a specified time period.
- 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_69ad85a9c4a88190a854019341cb3b60 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb853746c8190bfa1447e6ebbefb3 |
completed | March 8, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69adadf705608190975423779430cc58 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:14 p.m.