Triple
T27848229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chen Bridge Mutiny |
E703881
|
entity |
| Predicate | relatedPolity |
P87589
|
FINISHED |
| Object | Northern Han |
—
|
NE NERFINISHED |
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: Northern Han | Statement: [Chen Bridge Mutiny, relatedPolity, Northern Han]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedPolity Context triple: [Chen Bridge Mutiny, relatedPolity, Northern Han]
-
A.
linkedPolities
Indicates that two political entities are connected by some defined relationship, such as alliance, dependency, or shared governance.
-
B.
associatedPolityType
Indicates the type or category of political entity with which something is formally associated or linked.
-
C.
politicalEntityAssociated
chosen
Indicates that one entity has a political connection, affiliation, or involvement with another entity, such as through membership, support, representation, or influence.
-
D.
associatedPoliticalSystem
Indicates that there exists a political system with which the subject is formally or conceptually connected.
-
E.
politicalRelation
Indicates a relationship between entities that involves political alignment, influence, affiliation, conflict, or cooperation within a political context.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69ff97637ad881908c24fe2cc6b036db |
completed | May 9, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69ff96c43a808190942eeda1934602db |
completed | May 9, 2026, 8:19 p.m. |
Created at: April 27, 2026, 6:08 p.m.