Triple

T38325098

Position	Surface form	Disambiguated ID	Type / Status
Subject	北海公园	`E1036760`	entity
Predicate	宗教建筑	`P92816`	FINISHED
Object	白塔白塔是位于北京北海公园琼华岛上的著名藏式佛塔，也是这座皇家园林的重要地标建筑之一。	`E2264908`	NE FINISHED

How this triple was built (3 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: 白塔 | Statement: [北海公园, 宗教建筑, 白塔]

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: 白塔
Triple: [北海公园, 宗教建筑, 白塔]

Generated description

白塔是位于北京北海公园琼华岛上的著名藏式佛塔，也是这座皇家园林的重要地标建筑之一。

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: 宗教建筑
Context triple: [北海公园, 宗教建筑, 白塔]

A. religiousBuildingInstanceOf chosen
Indicates that a specific religious building is an instance of a particular class or type of religious building.
B. religiousBuildingCount
Indicates the number of religious buildings associated with or present in a given context or entity.
C. religiousBuildingDedicatedTo
Indicates that a religious building is formally dedicated or consecrated to a particular deity, figure, or religious concept.
D. religiousBuildingSpecialty
Indicates that a religious building is specifically dedicated to or specializes in a particular religious function, practice, or tradition.
E. associatedReligionBuilding
Indicates that there is a relationship between a religion and a specific building that is connected to, used by, or significant for that religion.
F. None of above.

Provenance (6 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_69f76e1c16fc8190bde982289dd5106b`	completed	May 3, 2026, 3:47 p.m.
NER	Named-entity recognition	`batch_69fccbd826708190b5fab12c4236299a`	completed	May 7, 2026, 5:28 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a419e1e01648190a0559371e1cba414`	completed	June 28, 2026, 10:20 p.m.
NEDg	Description generation	`batch_6a419fddd3c08190828d6562aac2a1ee`	completed	June 28, 2026, 10:27 p.m.
NED2	Entity disambiguation (via description)	`batch_6a41a05dbf248190adffdb8ecf42d5c6`	completed	June 28, 2026, 10:29 p.m.
PD	Predicate disambiguation	`batch_69fcc58838e08190b8fa54aa5c165f2d`	completed	May 7, 2026, 5:02 p.m.

Created at: May 3, 2026, 4:30 p.m.