Triple

T28388930
Position Surface form Disambiguated ID Type / Status
Subject 南岸区 E719096 entity
Predicate hasLandmark P105 FINISHED
Object 南山风景区
南山风景区是位于重庆市南岸区的一处以山林景观、城市全景观赏和人文景点为特色的综合性旅游风景区。
 E1816833 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: 南山风景区 | Statement: [南岸区, hasLandmark, 南山风景区]
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: 南山风景区
Triple: [南岸区, hasLandmark, 南山风景区]
Generated description
南山风景区是位于重庆市南岸区的一处以山林景观、城市全景观赏和人文景点为特色的综合性旅游风景区。

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_69eff6ef211081909d31d9be5f5567e6 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f64ceac7d48190be9d0929bcafd4bb completed May 2, 2026, 7:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16330676e08190a328a0ca67862381 completed May 26, 2026, 11:55 p.m.
NEDg Description generation batch_6a1633dd88848190bf73982c2ce00ffd completed May 26, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_6a16365587e08190b93663807e950946 completed May 27, 2026, 12:09 a.m.
Created at: April 28, 2026, 1:12 a.m.