Triple
T17744060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Grand Theatre |
E442938
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object | Xicheng District |
—
|
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: Xicheng District | Statement: [National Grand Theatre, locatedInDistrict, Xicheng District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xicheng District Context triple: [National Grand Theatre, locatedInDistrict, Xicheng District]
-
A.
Xicheng District
chosen
Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
-
B.
Chengdong District
Chengdong District is an urban administrative district of Xining, the capital city of Qinghai Province in northwestern China.
-
C.
Shuangxi District
Shuangxi District is a rural, mountainous district in eastern New Taipei City, Taiwan, known for its rivers, old streets, and natural scenery.
-
D.
Chengzhong District
Chengzhong District is a central urban district of Xining, the capital city of Qinghai Province in northwest China.
-
E.
Wensheng District
Wensheng District is an urban district within the prefecture-level city of Liaoyang in Liaoning Province, northeastern 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acf44f8819089a18193e37d112c |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:09 a.m.