Triple
T16731366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empress Nara |
E406598
|
entity |
| Predicate | sourceOfInterestFor |
P44657
|
FINISHED |
| Object | historians of the Qing dynasty |
—
|
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: historians of the Qing dynasty | Statement: [Empress Nara, sourceOfInterestFor, historians of the Qing dynasty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceOfInterestFor Context triple: [Empress Nara, sourceOfInterestFor, historians of the Qing dynasty]
-
A.
subjectInterest
Indicates that the subject has an interest in, or is concerned with, the object.
-
B.
subjectOfTour
Indicates that an entity serves as the main focus, destination, or theme of a tour.
-
C.
collectorInterest
Indicates that one entity has a special interest in acquiring, owning, or seeking out another entity as part of a collection.
-
D.
primaryInterest
chosen
Indicates that one entity is the main or most significant focus of attention, concern, or engagement for another entity.
-
E.
viewOnInterest
Indicates a perspective, opinion, or stance that one entity holds regarding a particular interest or topic.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c362bb88190921fab43d76c3ee8 |
completed | April 18, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.