Triple
T19986526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suihua |
E493946
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object | Beilin District |
—
|
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: Beilin District | Statement: [Suihua, hasAdministrativeDivision, Beilin District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beilin District Context triple: [Suihua, hasAdministrativeDivision, Beilin District]
-
A.
Beilin District
Beilin District is a central urban district of Xi'an, China, known for its rich historical sites and cultural landmarks.
-
B.
Beilin District
chosen
Beilin District is the central urban district and administrative seat of Suihua City in Heilongjiang Province, northeastern China.
-
C.
Zhanyi District
Zhanyi District is an administrative district under the jurisdiction of Qujing City in Yunnan Province, China, known for its role in regional agriculture and transportation.
-
D.
Qinbei District
Qinbei District is an urban administrative district of Qinzhou in Guangxi, China, known for its role as a local political and economic center.
-
E.
Longquanyi District
Longquanyi District is an urban district of Chengdu in Sichuan Province, China, known for its rapid development and sports facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d16f60c81909ba02c0a3429ecae |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:29 p.m.