Triple
T8465374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hokushin-ron |
E200147
|
entity |
| Predicate | consideredAlternativeTo |
P82403
|
FINISHED |
| Object | southward expansion into Southeast Asia |
—
|
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: southward expansion into Southeast Asia | Statement: [Hokushin-ron, consideredAlternativeTo, southward expansion into Southeast Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consideredAlternativeTo Context triple: [Hokushin-ron, consideredAlternativeTo, southward expansion into Southeast Asia]
-
A.
isAlternativeTo
Indicates that one entity can serve as a substitute or different option in place of another.
-
B.
alternativeUsedBy
Indicates that one entity serves as an alternative option or substitute that is used in place of another entity.
-
C.
hasAlternativeReferent
Indicates that an entity can also be referred to or identified by an alternative name, label, or reference.
-
D.
alternateDescription
Indicates that an entity has an additional or substitute textual description that can be used in place of its primary description.
-
E.
hasAlternativeAnalyses
chosen
Indicates that an entity is associated with one or more different or optional analyses that can be considered as alternatives to a primary analysis.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d05b2881909bddf58df0ee1143 |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.