Triple
T28374331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lü |
E718715
|
entity |
| Predicate | predecessorOverthrown |
P126723
|
FINISHED |
| Object | Jie of Xia |
—
|
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: Jie of Xia | Statement: [Lü, predecessorOverthrown, Jie of Xia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorOverthrown Context triple: [Lü, predecessorOverthrown, Jie of Xia]
-
A.
overthrownIn
Indicates that one entity (such as a government, leader, or regime) was removed from power or defeated in a specific event, context, or time period represented by the other entity.
-
B.
replacedPreviousRegimeOf
Indicates that one regime took over and succeeded another regime, effectively displacing it from power.
-
C.
overthrownByTitle
Indicates that a person holding a particular title was removed from power or deposed by another person identified by their title.
-
D.
predecessorAsDeFactoRuler
Indicates that one entity previously held actual ruling power over a domain or group, regardless of formal title, before another entity assumed that de facto control.
-
E.
predecessorAsSupremeRuler
chosen
Indicates that one entity previously held the position of supreme ruler immediately before another entity.
- 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_69eff6ee5afc8190bd7375a29f0cc6c6 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 28, 2026, 1:02 a.m.