Triple
T12707872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yingkou |
E303634
|
entity |
| Predicate | hasCountyLevelCity |
P27799
|
FINISHED |
| Object | Gaizhou |
E1001575
|
NE FINISHED |
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: Gaizhou | Statement: [Yingkou, hasCountyLevelCity, Gaizhou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaizhou Context triple: [Yingkou, hasCountyLevelCity, Gaizhou]
-
A.
Gaizhou
chosen
Gaizhou is a county-level city in Liaoning Province, China, known for its location near the Bohai Sea and its administration under the prefecture-level city of Yingkou.
-
B.
Yanzhou
Yanzhou is an ancient historical region in what is now western Shandong, China, known as one of the traditional Nine Provinces of early Chinese civilization.
-
C.
Gaoyang
Gaoyang is a legendary figure in ancient Chinese mythology, often associated with early royal lineages and revered as an ancestral progenitor by various clans.
-
D.
Songyuan
Songyuan is a prefecture-level city in northwestern Jilin Province, China, known as an important regional hub for agriculture, petrochemicals, and transportation.
-
E.
Jieshou
Jieshou is a county-level city administered by Fuyang in Anhui Province, eastern China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620663e881908d367170ed6d2c81 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eb1ca1081909b2e9e70f6a497dd |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:23 p.m.