Triple
T9008803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiaochang |
E215412
|
entity |
| Predicate | educationalHistory |
P37641
|
FINISHED |
| Object | location of mission schools |
—
|
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: location of mission schools | Statement: [Xiaochang, educationalHistory, location of mission schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationalHistory Context triple: [Xiaochang, educationalHistory, location of mission schools]
-
A.
educationHistory
chosen
Indicates that an entity has a record of formal learning experiences or academic qualifications associated with it.
-
B.
historicalSchool
Indicates that an entity is or was a school of historical significance or from a past period, rather than a currently active or contemporary school.
-
C.
historicalDiscipline
Indicates that one entity is a field or branch of academic study within the broader domain of history in relation to another entity.
-
D.
ethnicHistory
Indicates a relationship where one entity documents, describes, or is associated with the historical development, experiences, or heritage of an ethnic group.
-
E.
historicalCategory
Indicates that an entity is classified within a particular historical grouping, period, or type based on its time-related characteristics or 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bed8588190afc9cbca12b75a3b |
completed | April 1, 2026, 12:41 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:06 p.m.