Triple
T11540060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 毛泽覃 |
E273649
|
entity |
| Predicate | 参与地区 |
P16438
|
FINISHED |
| Object | 湖南省 |
—
|
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: 湖南省 | Statement: [毛泽覃, 参与地区, 湖南省]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 参与地区 Context triple: [毛泽覃, 参与地区, 湖南省]
-
A.
participantsRegion
chosen
Indicates that the related entities are associated with, originate from, or operate within a specified geographic region.
-
B.
collaborationRegion
Indicates the geographic or administrative area within which the collaboration between entities takes place or is defined.
-
C.
participantFrom
Indicates that a participant originates from, is associated with, or comes out of a specified source, group, or context.
-
D.
partOfPlanningRegion
Indicates that one entity is included within, or belongs to, a larger designated planning region.
-
E.
regionalComponent
Indicates that one entity functions as a sub-region or constituent part within the larger geographic or administrative area represented by the other 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886deed5c81908e5c38156064f882 |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d80879fdb48190be6dacc8aa63c809 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.