Triple
T9144931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ancient State of Sui |
E219427
|
entity |
| Predicate | hasChronologicalCharacter |
P51981
|
FINISHED |
| Object | pre-imperial Chinese state |
—
|
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: pre-imperial Chinese state | Statement: [ancient State of Sui, hasChronologicalCharacter, pre-imperial Chinese state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChronologicalCharacter Context triple: [ancient State of Sui, hasChronologicalCharacter, pre-imperial Chinese state]
-
A.
hasChronologicalStructure
Indicates that something is organized or arranged according to the order in which events occur over time.
-
B.
hasChronologicalPhase
chosen
Indicates that something is associated with, or occurs during, a specific chronological phase or time period in a sequence of development or events.
-
C.
chronologicalStatus
Indicates the temporal state or phase of something relative to a timeline or sequence of events.
-
D.
chronologicallyAfter
Indicates that one event or state occurs later in time than another.
-
E.
chronologicalFunction
Indicates a temporal relationship where one event or state functions to order, structure, or position another within a sequence of time.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9166d308190a742ae68371439ee |
completed | April 1, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69cc6603ce8c8190bf6e8d6754bdec54 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:19 p.m.