Triple
T19886727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jining |
E477917
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Liaocheng |
—
|
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: Liaocheng | Statement: [Jining, borderedBy, Liaocheng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liaocheng Context triple: [Jining, borderedBy, Liaocheng]
-
A.
Liáochéng
chosen
Liáochéng is a prefecture-level city in western Shandong Province, China, known for its historic Grand Canal heritage and extensive waterways.
-
B.
Zhucheng
Zhucheng is a county-level city in eastern Shandong Province, China, known for its rich dinosaur fossil discoveries and historical significance.
-
C.
Dezhou
Dezhou is a prefecture-level city in northwestern Shandong Province, China, known as a regional transport hub and for its agricultural and food-processing industries.
-
D.
Bozhou
Bozhou is a historic city in northern Anhui Province, China, known as a major center of traditional Chinese medicine and ancient culture.
-
E.
Rongcheng
Rongcheng is a traditional nickname for Chengdu, the capital city of Sichuan Province in southwestern China, renowned for its rich history, spicy cuisine, and vibrant cultural life.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65909fe0481908e22b60d04fe2b11 |
completed | April 20, 2026, 4:49 p.m. |
Created at: April 10, 2026, 1:52 p.m.