Triple
T25294196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beichuan Qiang Autonomous County |
E634170
|
entity |
| Predicate | hasRebuiltCountySeatAfter |
P180193
|
FINISHED |
| Object | 2008 Wenchuan earthquake |
—
|
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: 2008 Wenchuan earthquake | Statement: [Beichuan Qiang Autonomous County, hasRebuiltCountySeatAfter, 2008 Wenchuan earthquake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRebuiltCountySeatAfter Context triple: [Beichuan Qiang Autonomous County, hasRebuiltCountySeatAfter, 2008 Wenchuan earthquake]
-
A.
countySeatMovedTo
Indicates that the official county seat was relocated from one place to another.
-
B.
hasCountySeatSuccessor
Indicates that one county seat has been succeeded or replaced by another as the official administrative center for a county.
-
C.
hasFormerCounty
Indicates that an entity was previously part of, or administered by, a particular county in the past but no longer is.
-
D.
countySeatSince
Indicates that one place has served as the official county seat of a county starting from a specified point in time.
-
E.
laterSeatOfGovernment
Indicates that the referenced place served as a subsequent seat of government for the same political entity after an earlier one.
- F. None of above. chosen
Provenance (4 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
| PDg | Predicate description generation | batch_69f739a58b3c81908abc2b8738a65678 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 21, 2026, 1:22 p.m.