Triple
T4469108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Red Army |
E98450
|
entity |
| Predicate | politicalWork |
P29201
|
FINISHED |
| Object | mass mobilization |
—
|
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: mass mobilization | Statement: [Chinese Red Army, politicalWork, mass mobilization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalWork Context triple: [Chinese Red Army, politicalWork, mass mobilization]
-
A.
politicalWorkSystem
Indicates a relationship where an entity is involved in, governed by, or characterized through a particular political work system or framework for political activities and operations.
-
B.
politicalAct
chosen
Indicates that an entity performs, participates in, or is involved with an action related to politics, governance, or public policy.
-
C.
politicalFunction
Indicates that an entity holds, performs, or is associated with a specific role, duty, or function within a political system or structure.
-
D.
politicalContribution
Indicates that one entity provides money or resources to support the political activities, campaigns, or objectives of another entity.
-
E.
politicalForm
Indicates the type or structure of governance or political organization that characterizes an entity.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.