Triple
T3272594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaoyang District |
E68683
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Guomao area |
E341897
|
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: Guomao area | Statement: [Chaoyang District, contains, Guomao area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guomao area Context triple: [Chaoyang District, contains, Guomao area]
-
A.
Guomao area
chosen
The Guomao area is a major commercial and transportation hub in Beijing, known for its dense cluster of skyscrapers, shopping centers, and the key Guomao interchange on the city’s ring roads.
-
B.
Xialu District
Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
-
C.
Guiren District
Guiren District is an administrative district in the southern Taiwanese city of Tainan, known for its mix of suburban communities, agriculture, and educational institutions.
-
D.
Beibei District
Beibei District is an urban district of Chongqing, China, known for its scenic landscapes, hot springs, and educational institutions.
-
E.
Dianjun District
Dianjun District is an urban district of Yichang City in Hubei Province, central China, situated along the Yangtze River and known for its role in the region’s transportation and industry.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff6308881908886a44804a0bb09 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e83e11f081909d64287c0902124a |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:10 p.m.