Triple
T15815514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haozhou |
E383465
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Fengyang |
E1178371
|
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: Fengyang | Statement: [Haozhou, locatedNear, Fengyang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fengyang Context triple: [Haozhou, locatedNear, Fengyang]
-
A.
Fengyang County
chosen
Fengyang County is a county in Anhui Province, China, historically notable as the birthplace of the Ming dynasty’s founding emperor, Zhu Yuanzhang.
-
B.
Yifang
Yifang is a given name of Chinese origin used for both males and females.
-
C.
Huai-an
Huai-an is an older romanized spelling of Huaian, a prefecture-level city in Jiangsu Province, China, known for its historical significance and canal-based waterways.
-
D.
Guanghe
Guanghe was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
-
E.
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.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a219508190b8588120ec415ac7 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa131784c8190bd6aba2cca084d20 |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:49 a.m.