Triple
T27959569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhuo County, You Province |
E704541
|
entity |
| Predicate | superiorUnit |
P113347
|
FINISHED |
| Object | You Province |
—
|
NE NERFINISHED |
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: You Province | Statement: [Zhuo County, You Province, superiorUnit, You Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: superiorUnit Context triple: [Zhuo County, You Province, superiorUnit, You Province]
-
A.
superunitOf
Indicates that one unit is hierarchically above and directly encompasses another unit within an organizational or structural system.
-
B.
superior
chosen
Indicates that one entity holds a higher rank, status, or level of authority than another entity.
-
C.
superiorGeneral
Indicates that one entity holds the role or position of superior general in relation to another entity, typically as the highest-ranking leader of a religious order or similar organization.
-
D.
successorSubunit
Indicates that one organizational subunit is the direct successor or continuation of another subunit in a structural or temporal sequence.
-
E.
predecessorUnit
Indicates that one unit directly precedes another in an ordered sequence or hierarchy.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 7:30 p.m.