Triple
T9667686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanshan Temple |
E233746
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hainan |
E37179
|
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: Hainan | Statement: [Nanshan Temple, locatedIn, Hainan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hainan Context triple: [Nanshan Temple, locatedIn, Hainan]
-
A.
Hainan
chosen
Hainan is a tropical island province in southern China known for its beaches, tourism, and status as a major special economic zone.
-
B.
Hainan Hlai
Hainan Hlai is a Kra–Dai language spoken primarily by the Li (Hlai) ethnic group on China’s Hainan Island.
-
C.
Hainan Special Economic Zone
Hainan Special Economic Zone is a major Chinese free-trade and investment zone encompassing the entire island province of Hainan, established to promote market-oriented economic reforms and international commerce.
-
D.
Lingshui
Lingshui is a coastal county-level city in southeastern Hainan, China, known for its tropical climate, beaches, and growing tourism industry.
-
E.
Qizhou
Qizhou is a historic town in Hubei, China, known as the birthplace of the famed Ming dynasty physician and pharmacologist Li Shizhen.
- 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_69ca848d3b6c8190ae98ea554dea58df |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c3c06e4819080c1b8e66faa482f |
completed | April 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28194f6e88190932efe607088394a |
completed | April 5, 2026, 3:36 p.m. |
Created at: March 30, 2026, 8:15 p.m.