Triple
T28800671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Li Xin |
E727221
|
entity |
| Predicate | preUnificationState |
P95606
|
FINISHED |
| Object | Qin |
—
|
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: Qin | Statement: [Li Xin, preUnificationState, Qin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preUnificationState Context triple: [Li Xin, preUnificationState, Qin]
-
A.
preStatePrecursor
chosen
Indicates that one state or condition serves as a precursor to, or exists immediately before, another state in a process or sequence.
-
B.
preUnionAssociation
Indicates a relationship or involvement that existed between entities before they formally joined or formed a union.
-
C.
preUnionRepresentation
Indicates that an entity served as a representative or agent for a labor union prior to a specified event or time period.
-
D.
preStateFunction
Indicates that a function or system is in a specific state or configuration before a particular action, event, or transition occurs.
-
E.
preambleStates
Indicates that a preamble explicitly declares or specifies certain statements, conditions, or principles.
- 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_69f0319b7c44819085736bcc256185e6 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:27 a.m.