Triple
T6499221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langfang |
E148838
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Guangyang District |
E453315
|
NE 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: Guangyang District | Statement: [Langfang, capital, Guangyang District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guangyang District Context triple: [Langfang, capital, Guangyang District]
-
A.
Guangyang District
chosen
Guangyang District is an urban district of Langfang City in Hebei Province, China, located in the Beijing–Tianjin corridor and known for its role in regional transportation and commerce.
-
B.
Yingquan District
Yingquan District is an urban administrative district of the city of Fuyang in Anhui Province, China.
-
C.
Yongnian District
Yongnian District is an administrative district under the jurisdiction of Handan City in Hebei Province, China, known for its historical and cultural significance.
-
D.
Tieshan District
Tieshan District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China, known for its industrial and mining activities.
-
E.
Fengrun District
Fengrun District is an administrative district under the jurisdiction of the prefecture-level city of Tangshan in Hebei Province, China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c687e9ad288190bae5bcac9c8ac855 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c68ad1c46c819089db43e7c3a8d160 |
completed | March 27, 2026, 1:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cbabb8848190bb541957176b0ca1 |
completed | March 28, 2026, 12:38 p.m. |
Created at: March 27, 2026, 1:41 p.m.