Triple
T36994041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monmu |
E915181
|
entity |
| Predicate | successorStateStructure |
P202601
|
FINISHED |
| Object | centralized imperial bureaucracy |
—
|
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: centralized imperial bureaucracy | Statement: [Monmu, successorStateStructure, centralized imperial bureaucracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorStateStructure Context triple: [Monmu, successorStateStructure, centralized imperial bureaucracy]
-
A.
successorState
Indicates that one state directly follows another as the immediate next state in a sequence or process.
-
B.
successorStateRelations
Indicates the state transitions that directly follow from a given state, capturing how one state leads to its immediate successor states.
-
C.
successorStateAffected
Indicates that a change or event in one state directly influences or alters the conditions of its subsequent (successor) state.
-
D.
successorStateFlag
Indicates that a particular state directly follows another state in a defined sequence or process.
-
E.
successorStateBuilt
Indicates that one state of construction or development directly follows and results from another in a building or structural process.
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a009f53a4948190aef4ede1713e1748 |
completed | May 10, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_6a009edc53d4819080b22c1074a990f3 |
completed | May 10, 2026, 3:06 p.m. |
| PDg | Predicate description generation | batch_6a009f52ef9c8190be0e8ea2e2cd484f |
completed | May 10, 2026, 3:08 p.m. |
Created at: May 3, 2026, 4:14 p.m.