Triple
T21258703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaochang Ruins |
E523938
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object | Gaochang |
—
|
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: Gaochang | Statement: [Gaochang Ruins, historicalName, Gaochang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaochang Context triple: [Gaochang Ruins, historicalName, Gaochang]
-
A.
Gaochang
chosen
Gaochang was an ancient Silk Road oasis kingdom and trading hub located near modern Turpan in Xinjiang, China.
-
B.
Longcheng
Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
-
C.
Guangdu
Guangdu is an ancient historical name for the area now known as Nanchong, a major city in Sichuan Province, China.
-
D.
Baidi City
Baidi City is an ancient fortress and historical town in Fengjie County, Chongqing, China, famed as a cultural landmark overlooking the Yangtze River and associated with classic Chinese poetry and the Three Gorges region.
-
E.
Chengguan
Chengguan was an influential Tang dynasty Buddhist monk and scholar renowned for his authoritative commentaries on Huayan (Avatamsaka) doctrine.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735e477d08190be17ad5384d69a80 |
completed | April 21, 2026, 8:31 a.m. |
Created at: April 16, 2026, 3:59 p.m.