Triple
T28323615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xintian |
E717346
|
entity |
| Predicate | hasRoleDuringHistory |
P29914
|
FINISHED |
| Object | central place in Jin’s political administration |
—
|
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: central place in Jin’s political administration | Statement: [Xintian, hasRoleDuringHistory, central place in Jin’s political administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleDuringHistory Context triple: [Xintian, hasRoleDuringHistory, central place in Jin’s political administration]
-
A.
hasHistoricalRoleAs
chosen
Indicates that an entity has served in a specific historical capacity, function, or position during a particular period or context.
-
B.
hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
C.
hasHistorySince
Indicates that an entity has maintained a particular state, condition, or relationship continuously starting from a specified point in time.
-
D.
hasHistoryPeriod
Indicates that something is associated with, belongs to, or occurs within a specific historical period or era.
-
E.
hasHistoricalActor
Indicates that an entity is associated with or involves a specific historical person as a participant or subject.
- 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_69eff6e6c3b08190ad78de6ba7f04548 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 28, 2026, 12:26 a.m.