Triple
T10174326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Xizong of Tang |
E235811
|
entity |
| Predicate | fledCapitalInYear |
P70242
|
FINISHED |
| Object | 880 |
—
|
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: 880 | Statement: [Emperor Xizong of Tang, fledCapitalInYear, 880]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fledCapitalInYear Context triple: [Emperor Xizong of Tang, fledCapitalInYear, 880]
-
A.
fledCapital
chosen
Indicates that an entity escaped or ran away from a capital city, typically in response to danger, threat, or pursuit.
-
B.
capitalFromYear
Indicates that a location serves as the capital of a political or administrative entity starting from a specified year.
-
C.
lostCapitalTo
Indicates that one entity ceased to be the capital in favor of another entity, to which the capital status was transferred or lost.
-
D.
dateCapitalMoved
Indicates the date on which a capital city was officially relocated from one place to another.
-
E.
temporaryCapitalYear
Indicates the year during which a particular location served as a temporary capital.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdeca0dc508190916f2a1bbb288192 |
completed | April 2, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69cd7c79f21c8190a7f31b2eab80b8ba |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:11 p.m.