Triple
T27511658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songbei District |
E694432
|
entity |
| Predicate | capitalOfContainingProvince |
P87043
|
FINISHED |
| Object | Harbin |
—
|
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: Harbin | Statement: [Songbei District, capitalOfContainingProvince, Harbin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalOfContainingProvince Context triple: [Songbei District, capitalOfContainingProvince, Harbin]
-
A.
countryCapitalOfProvince
Indicates that a country serves as the capital or primary administrative center of a specified province.
-
B.
provinceCapitalOfProvince
chosen
Indicates that one entity is the capital city of a specified province.
-
C.
countryCapitalProvince
Indicates that a given province serves as the capital administrative region of a specified country.
-
D.
capitalOfProvinceNearby
Indicates that a city serves as the capital of a province that is geographically close to a specified reference location or area.
-
E.
hasCountryCapitalOfProvince
Indicates that a country has a specific city that serves as the capital of one of its provinces.
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 1:16 p.m.