Triple
T9705682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinmen Airport |
E234891
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object |
Jincheng
Jincheng is the main urban township and administrative center of Kinmen County, located on the outlying Kinmen Islands governed by Taiwan.
|
E815209
|
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: Jincheng | Statement: [Kinmen Airport, cityServed, Jincheng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jincheng Context triple: [Kinmen Airport, cityServed, Jincheng]
-
A.
Jincheng
Jincheng is a prefecture-level city in southeastern Shanxi Province, China, known for its coal resources and heavy industry.
-
B.
Jincheng
Jincheng is an ancient name historically used for the Chinese city now known as Lanzhou, a key regional center along the Silk Road in Gansu Province.
-
C.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
D.
Pingcheng
Pingcheng was an important ancient Chinese city that served as the early capital of the Northern Wei dynasty, located near present-day Datong in Shanxi Province.
-
E.
Lincang
Lincang is a prefecture-level city in southwestern China known for its tea production, diverse ethnic cultures, and location near the border with Myanmar.
- 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: Jincheng Triple: [Kinmen Airport, cityServed, Jincheng]
Generated description
Jincheng is the main urban township and administrative center of Kinmen County, located on the outlying Kinmen Islands governed by Taiwan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jincheng Target entity description: Jincheng is the main urban township and administrative center of Kinmen County, located on the outlying Kinmen Islands governed by Taiwan.
-
A.
Jincheng
Jincheng is a prefecture-level city in southeastern Shanxi Province, China, known for its coal resources and heavy industry.
-
B.
Jincheng
Jincheng is an ancient name historically used for the Chinese city now known as Lanzhou, a key regional center along the Silk Road in Gansu Province.
-
C.
Yuncheng
Yuncheng is a major city in southern Shanxi Province, China, known for its historical sites and role as a regional transportation and economic hub.
-
D.
Pingcheng
Pingcheng was an important ancient Chinese city that served as the early capital of the Northern Wei dynasty, located near present-day Datong in Shanxi Province.
-
E.
Lincang
Lincang is a prefecture-level city in southwestern China known for its tea production, diverse ethnic cultures, and location near the border with Myanmar.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da369b4819081f6ce01289ed725 |
completed | April 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19136b40c8190922052dd84d49f15 |
completed | April 4, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69d193623fac8190a8dcdac664a977f3 |
completed | April 4, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d193cc61208190b98fe862b295dda3 |
completed | April 4, 2026, 10:42 p.m. |
Created at: March 30, 2026, 8:19 p.m.