Triple
T196675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taisho era |
E3831
|
entity |
| Predicate | intellectualTrend |
P7514
|
FINISHED |
| Object | rise of liberal thought |
—
|
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: rise of liberal thought | Statement: [Taisho era, intellectualTrend, rise of liberal thought]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intellectualTrend Context triple: [Taisho era, intellectualTrend, rise of liberal thought]
-
A.
coreIdea
Indicates the central concept or primary message that underlies or unifies something, such as a text, argument, or work.
-
B.
knowledgeExchange
Indicates a reciprocal sharing or transfer of knowledge, information, or expertise between entities.
-
C.
technologyParadigm
Indicates a relationship where one entity represents or defines the overarching technological model, framework, or approach within which another entity operates or is categorized.
-
D.
popularity
Indicates how widely liked, admired, or favored something or someone is by a group of people.
-
E.
studiedBy
Indicates that a subject (such as a field, topic, or object) is examined, researched, or learned by an agent (such as a person or group).
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2598594388190a56f36fa036eac84 |
completed | Feb. 28, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69a25677da14819094cd02868fd30c83 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a258b30f6c8190be2181f30c40e04d |
completed | Feb. 28, 2026, 2:53 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.