Triple
T17508757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinjiang |
E426393
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Shishi |
—
|
NE NERFINISHED |
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: Shishi | Statement: [Jinjiang, borderedBy, Shishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shishi Context triple: [Jinjiang, borderedBy, Shishi]
-
A.
Shishi
chosen
Shishi is a coastal county-level city in Fujian Province, China, known as a major center for the textile and garment industry.
-
B.
Jinguashi
Jinguashi is a historic former gold and copper mining town in New Taipei, Taiwan, known for its mountainous scenery, Japanese-era relics, and heritage sites like the Gold Ecological Park.
-
C.
Shichahai
Shichahai is a historic scenic area in central Beijing known for its interconnected lakes, traditional hutong neighborhoods, and vibrant cultural and leisure activities.
-
D.
Shakujii
Shakujii is a residential district in Nerima, Tokyo, known for its large parks, ponds, and suburban atmosphere.
-
E.
Shiqi
Shiqi was a historical administrative and commercial center that served as the capital of Xiangshan County in Guangdong during the Qing Empire.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525a43208190b8728214767428c0 |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:48 a.m.