Triple
T27287950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Asaka |
E688532
|
entity |
| Predicate | nobleRankScope |
P162308
|
FINISHED |
| Object | imperial family |
—
|
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: imperial family | Statement: [Princess of Asaka, nobleRankScope, imperial family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nobleRankScope Context triple: [Princess of Asaka, nobleRankScope, imperial family]
-
A.
nobleRankIn
Indicates that an entity holds a specified noble rank within a particular political or territorial jurisdiction.
-
B.
nobleRankType
Indicates the specific category or level of nobility associated with an entity within a hierarchical noble rank system.
-
C.
nobleRankAbove
Indicates that one entity holds a higher noble rank or title in a hierarchy than another entity.
-
D.
nobleRankInHierarchy
Indicates the relative position or level of a noble title within a structured hierarchy of ranks.
-
E.
nobleRankInOrder
Indicates that an entity holds a specific noble rank at a particular position within an established order of nobility.
- 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_69ef355998e08190bdff849e8f33adce |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6275714f081908747301e962c8b0b |
completed | May 2, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f622a8fe7c819096e8a43db263a423 |
completed | May 2, 2026, 4:13 p.m. |
Created at: April 27, 2026, 11:13 a.m.