Triple
T7806924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harbin |
E180578
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Daowai District
Daowai District is an urban district of Harbin in Heilongjiang Province, China, known for its historic architecture and traditional neighborhoods.
|
E694431
|
NE FINISHED |
How this triple was built (4 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: Daowai District | Statement: [Harbin, hasDistrict, Daowai District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daowai District Context triple: [Harbin, hasDistrict, Daowai District]
-
A.
Tsuzuki District
Tsuzuki District is a former administrative district that once existed within Kyoto Prefecture in Japan.
-
B.
Tsuboya district
Tsuboya district is a historic area in Naha, Okinawa, renowned as the traditional center of Ryukyuan pottery production and culture.
-
C.
Kanda district
Kanda district is a historic commercial and cultural area in central Tokyo known for its old bookstores, electronics shops, and traditional shrines.
-
D.
Seo District
Seo District is a western coastal district of Incheon, South Korea, known for its industrial complexes, port facilities, and growing residential areas.
-
E.
Ichigaya district
Ichigaya district is a central Tokyo neighborhood known for its government and military institutions, educational facilities, and proximity to the Imperial Palace area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daowai District Triple: [Harbin, hasDistrict, Daowai District]
Generated description
Daowai District is an urban district of Harbin in Heilongjiang Province, China, known for its historic architecture and traditional neighborhoods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daowai District Target entity description: Daowai District is an urban district of Harbin in Heilongjiang Province, China, known for its historic architecture and traditional neighborhoods.
-
A.
Tsuzuki District
Tsuzuki District is a former administrative district that once existed within Kyoto Prefecture in Japan.
-
B.
Tsuboya district
Tsuboya district is a historic area in Naha, Okinawa, renowned as the traditional center of Ryukyuan pottery production and culture.
-
C.
Kanda district
Kanda district is a historic commercial and cultural area in central Tokyo known for its old bookstores, electronics shops, and traditional shrines.
-
D.
Seo District
Seo District is a western coastal district of Incheon, South Korea, known for its industrial complexes, port facilities, and growing residential areas.
-
E.
Ichigaya district
Ichigaya district is a central Tokyo neighborhood known for its government and military institutions, educational facilities, and proximity to the Imperial Palace area.
- F. None of above. chosen
Provenance (5 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf639fba88190a7c117aab19c0b0f |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb1450a2408190afe0459086d4480f |
completed | March 31, 2026, 12:24 a.m. |
| NEDg | Description generation | batch_69cb173190a88190b31fd7973bc19d43 |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a49beb4819090532acabb9391b1 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:35 p.m.