Triple
T28246470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Xiaocheng of Zhao |
E712181
|
entity |
| Predicate | contemporaneousState |
P6401
|
FINISHED |
| Object | State of 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: State of Qin | Statement: [King Xiaocheng of Zhao, contemporaneousState, State of Qin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contemporaneousState Context triple: [King Xiaocheng of Zhao, contemporaneousState, State of Qin]
-
A.
contemporaryWith
chosen
Indicates that two entities existed, occurred, or were active during the same time period.
-
B.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another entity.
-
C.
formerState
Indicates that an entity previously held the status or condition of a particular state but no longer does so.
-
D.
mostRecentState
Indicates the latest or last known state of an entity within a sequence of its states.
-
E.
contemporaryProcess
Indicates that one process occurs in the same time period as, or overlaps temporally with, another process.
- 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_69efb51fb98881909692421959ec0170 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 27, 2026, 11:01 p.m.