Triple
T31919299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liu Shan |
E814924
|
entity |
| Predicate | lostStateYear |
P47940
|
FINISHED |
| Object | 263 |
—
|
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: 263 | Statement: [Liu Shan, lostStateYear, 263]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lostStateYear Context triple: [Liu Shan, lostStateYear, 263]
-
A.
lostAuthorityInYear
chosen
Indicates that an entity ceased to hold or exercise a particular authority in the specified year.
-
B.
lostStatus
Indicates that an entity has transitioned into a state of being lost, missing, or no longer in its expected or intended possession or location.
-
C.
lostDuring
Indicates that something ceased to be in possession or was no longer retained while a particular event, process, or time period was occurring.
-
D.
lostFederalRecognitionInYear
Indicates that an entity ceased to have official federal recognition in the specified year.
-
E.
lastStateRecognitionYear
Indicates the most recent year in which an entity received official recognition or designation from a state authority.
- 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_69f348f1df848190851bbfb988da3414 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:02 a.m.