Triple
T28160928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xichang |
E714889
|
entity |
| Predicate | provinceCapitalFrom |
P183106
|
FINISHED |
| Object | Chengdu |
—
|
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: Chengdu | Statement: [Xichang, provinceCapitalFrom, Chengdu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: provinceCapitalFrom Context triple: [Xichang, provinceCapitalFrom, Chengdu]
-
A.
regionCapital
Indicates that one entity is the capital city or administrative center of a specified region.
-
B.
zoneCapital
Indicates that a given city or settlement serves as the capital of a specified administrative zone or region.
-
C.
provinceCapitalLocatedOn
Indicates that the capital of a province is geographically situated on or alongside a specified physical feature or location (such as a river, coast, or lake).
-
D.
cityAsCapitalOf
Indicates that a city serves as the official capital of a specified political or administrative entity.
-
E.
territoryCapital
Indicates that one entity is the capital city or administrative center of a specified territory.
- 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_69efd6b156448190bfa15958208395c3 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: April 27, 2026, 10:06 p.m.