Triple
T28289923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King An of Han |
E713394
|
entity |
| Predicate | realmConqueredBy |
P164235
|
FINISHED |
| Object | 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: Qin | Statement: [King An of Han, realmConqueredBy, Qin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realmConqueredBy Context triple: [King An of Han, realmConqueredBy, Qin]
-
A.
conqueredIn
Indicates that one entity gained control over another entity or territory as a result of a specific conquest event or campaign.
-
B.
conqueredFrom
Indicates that one entity gained control of another entity by taking it from a third party that previously held it.
-
C.
conqueredInPartBy
Indicates that one entity has gained control over a portion, but not the entirety, of another entity through conquest.
-
D.
afterConquestBy
Indicates that one entity exists in a state, condition, or situation that occurs subsequent to and as a result of being conquered by another entity.
-
E.
lastTerritoriesConqueredBy
Indicates that the referenced territories are the most recent ones taken control of through conquest by a specified entity.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f644825d308190a1bfd0e202c7f58b |
completed | May 2, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 27, 2026, 11:28 p.m.