Triple
T32890000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lottie Moon |
E841304
|
entity |
| Predicate | yearsInChina |
P175551
|
FINISHED |
| Object | approximately 39 |
—
|
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: approximately 39 | Statement: [Lottie Moon, yearsInChina, approximately 39]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsInChina Context triple: [Lottie Moon, yearsInChina, approximately 39]
-
A.
returnedFromChinaYear
Indicates the year in which an entity came back from China.
-
B.
unifiedChinaInYear
Indicates that the subject brought all of China under a single political authority in the specified year.
-
C.
travelYearToChina
Indicates that an entity traveled to China in a specified year.
-
D.
timeInChineseEraSystem
Indicates that a temporal reference is expressed using a specific Chinese era-based calendrical system (such as reign titles or traditional era names).
-
E.
ethnicStatusInChina
Indicates the ethnic classification or status that an entity holds within the sociopolitical context of China.
- 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_69f349446e288190a70c05bcc4d81172 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d210fc80819091ed8961aa2cddfb |
completed | May 3, 2026, 4:41 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d16b79dc8190ab0d4657f2ef9a5b |
completed | May 3, 2026, 4:39 a.m. |
Created at: May 1, 2026, 1:18 a.m.