Triple
T29698238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beijing area |
E751409
|
entity |
| Predicate | historicalPredecessorRole |
P29914
|
FINISHED |
| Object | capital region of several Chinese dynasties |
—
|
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: capital region of several Chinese dynasties | Statement: [Beijing area, historicalPredecessorRole, capital region of several Chinese dynasties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPredecessorRole Context triple: [Beijing area, historicalPredecessorRole, capital region of several Chinese dynasties]
-
A.
hasHistoricalRoleAs
chosen
Indicates that an entity has served in a specific historical capacity, function, or position during a particular period or context.
-
B.
historicalEntityPredecessor
Indicates that one historical entity existed or held a role before another, serving as its predecessor in time or sequence.
-
C.
predecessorInRole
Indicates that one entity previously held a particular role or position that was later occupied by another entity.
-
D.
hasNamesakeRoleInHistory
Indicates that an entity has a historical role or position that is the same as, or named after, another entity’s role in history.
-
E.
roleHistoricallyAssociatedWith
Indicates that one role, position, or function has been historically linked or commonly associated with another entity, role, or context over 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_69f0d6266f8481909e70bb41cda18587 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
Created at: April 28, 2026, 7:22 p.m.