Triple
T19165412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanhaiguan District |
E469165
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Laolongtou |
—
|
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: Laolongtou | Statement: [Shanhaiguan District, contains, Laolongtou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laolongtou Context triple: [Shanhaiguan District, contains, Laolongtou]
-
A.
Laolongtou
chosen
Laolongtou is a dramatic seaside section at the eastern end of the Great Wall of China where the wall appears to plunge into the Bohai Sea.
-
B.
Meidi Dadao
Meidi Dadao is a metro station in Guangzhou, China, serving as a terminus on Guangzhou Metro Line 7.
-
C.
Longleng
Longleng is a town and administrative center in the northeastern Indian state of Nagaland, known as the headquarters of Longleng district.
-
D.
Menglianggu
Menglianggu is a mountainous area in Shandong Province, China, best known as the site of a major civil war battle between Communist and Nationalist forces in 1947.
-
E.
Baijiao
Baijiao is a town-level settlement located within Doumen District of Zhuhai in Guangdong Province, China.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f15ee064819087f9fd822236298f |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.