Triple
T34984200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red China |
E1008896
|
entity |
| Predicate | especiallyRefersToPeriod |
P4343
|
FINISHED |
| Object | Mao Zedong era |
—
|
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: Mao Zedong era | Statement: [Red China, especiallyRefersToPeriod, Mao Zedong era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: especiallyRefersToPeriod Context triple: [Red China, especiallyRefersToPeriod, Mao Zedong era]
-
A.
refersToPeriod
chosen
Indicates that one entity designates, references, or is associated with a specific time period or interval.
-
B.
appearsInTimePeriod
Indicates that an entity is present, active, or occurs within a specified time period.
-
C.
timePeriodQualifier
Indicates how a time-related statement or value is further specified or constrained, such as by defining its scope, phase, or contextual condition within a broader time period.
-
D.
focusPeriod
Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
-
E.
focusPeriodEnd
Indicates the point in time at which a specified focus period or interval concludes.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.