Triple
T15499646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaoguan |
E378915
|
entity |
| Predicate | hasCountyLevelCity |
P27799
|
FINISHED |
| Object |
Lechang
Lechang is a county-level city administered by Shaoguan in northern Guangdong Province, China, known for its mountainous terrain and role as a regional transport and commercial hub.
|
E1161628
|
NE FINISHED |
How this triple was built (4 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: Lechang | Statement: [Shaoguan, hasCountyLevelCity, Lechang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lechang Context triple: [Shaoguan, hasCountyLevelCity, Lechang]
-
A.
Longchang
Longchang was a Chinese era name used during the Northern Qi dynasty to designate a specific reign period.
-
B.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
C.
Changle
Changle is a coastal city in eastern China located on the Shandong Peninsula.
-
D.
Shancheng
Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
-
E.
Chardzhou
Chardzhou is the former name of Turkmenabat, a major city in eastern Turkmenistan located on the Amu Darya River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lechang Triple: [Shaoguan, hasCountyLevelCity, Lechang]
Generated description
Lechang is a county-level city administered by Shaoguan in northern Guangdong Province, China, known for its mountainous terrain and role as a regional transport and commercial hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lechang Target entity description: Lechang is a county-level city administered by Shaoguan in northern Guangdong Province, China, known for its mountainous terrain and role as a regional transport and commercial hub.
-
A.
Longchang
Longchang was a Chinese era name used during the Northern Qi dynasty to designate a specific reign period.
-
B.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
C.
Changle
Changle is a coastal city in eastern China located on the Shandong Peninsula.
-
D.
Shancheng
Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
-
E.
Chardzhou
Chardzhou is the former name of Turkmenabat, a major city in eastern Turkmenistan located on the Amu Darya River.
- F. None of above. chosen
Provenance (5 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcb4e8c81908e4ab463e3ae252b |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4a9bf88190b7c6b4874abe165f |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3e77330881909f13327aa2616203 |
completed | May 9, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3eed56b881908363380284e9d81b |
completed | May 9, 2026, 2:04 p.m. |
Created at: April 10, 2026, 3:54 a.m.