Triple
T3515202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jingtai Emperor |
E74288
|
entity |
| Predicate | causeOfLossOfThrone |
P26452
|
FINISHED |
| Object | coup restoring Zhengtong Emperor |
—
|
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: coup restoring Zhengtong Emperor | Statement: [Jingtai Emperor, causeOfLossOfThrone, coup restoring Zhengtong Emperor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfLossOfThrone Context triple: [Jingtai Emperor, causeOfLossOfThrone, coup restoring Zhengtong Emperor]
-
A.
birthProcess
Indicates the biological process through which a new organism is brought into existence from its parent or parents.
-
B.
causeOfDownfall
chosen
Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
-
C.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
D.
fallCause
Indicates that one event or condition causes or brings about another event of falling or decline.
-
E.
birthType
Indicates the manner or method by which a birth occurred or was brought about.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc30362c81908ca7497a6a935cc6 |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.