Triple
T2607745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tainan |
E58700
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Annan District
Annan District is a coastal urban district in Tainan, Taiwan, known for its wetlands, historical sites, and traditional fishing villages.
|
E282406
|
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: Annan District | Statement: [Tainan, hasDistrict, Annan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annan District Context triple: [Tainan, hasDistrict, Annan District]
-
A.
Annan
Annan is the surname of Kofi Annan, the Ghanaian diplomat and former Secretary-General of the United Nations.
-
B.
Alna district
Alna district is a borough in the eastern part of Oslo, Norway, known for its residential areas, industrial zones, and the Alna River running through it.
-
C.
Supilinn district
Supilinn district is a historic wooden-house neighborhood in Tartu, Estonia, known for its bohemian atmosphere and location near the city center and Emajõgi River.
-
D.
Nordanstig Municipality
Nordanstig Municipality is a local government area in east-central Sweden known for its rural landscapes along the Gulf of Bothnia.
-
E.
Kainuu
Kainuu is a sparsely populated region in eastern Finland known for its forests, lakes, and traditional Finnish rural culture.
- 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: Annan District Triple: [Tainan, hasDistrict, Annan District]
Generated description
Annan District is a coastal urban district in Tainan, Taiwan, known for its wetlands, historical sites, and traditional fishing villages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Annan District Target entity description: Annan District is a coastal urban district in Tainan, Taiwan, known for its wetlands, historical sites, and traditional fishing villages.
-
A.
Annan
Annan is the surname of Kofi Annan, the Ghanaian diplomat and former Secretary-General of the United Nations.
-
B.
Alna district
Alna district is a borough in the eastern part of Oslo, Norway, known for its residential areas, industrial zones, and the Alna River running through it.
-
C.
Supilinn district
Supilinn district is a historic wooden-house neighborhood in Tartu, Estonia, known for its bohemian atmosphere and location near the city center and Emajõgi River.
-
D.
Nordanstig Municipality
Nordanstig Municipality is a local government area in east-central Sweden known for its rural landscapes along the Gulf of Bothnia.
-
E.
Kainuu
Kainuu is a sparsely populated region in eastern Finland known for its forests, lakes, and traditional Finnish rural culture.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd86769b88190935151a01c1ac855 |
completed | March 7, 2026, 7:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af83de926c81909e45160f9fc78799 |
completed | March 10, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69af8501adc4819092035d7e55524fc8 |
completed | March 10, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af85aa5f548190a4ce1a4ff38ca5e3 |
completed | March 10, 2026, 2:44 a.m. |
Created at: March 6, 2026, 9:49 p.m.