Triple

T26816155

Position	Surface form	Disambiguated ID	Type / Status
Subject	Tian Tan Buddha	`E675124`	entity
Predicate	exhibitionHallLevels	`P141170`	FINISHED
Object	Hall of Benevolent Merit The Hall of Benevolent Merit is an exhibition space within the Tian Tan Buddha complex that houses displays and artifacts related to Buddhist culture and the monument’s religious significance.	`E1741937`	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: Hall of Benevolent Merit | Statement: [Tian Tan Buddha, exhibitionHallLevels, Hall of Benevolent Merit]

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: Hall of Benevolent Merit
Triple: [Tian Tan Buddha, exhibitionHallLevels, Hall of Benevolent Merit]

Generated description

The Hall of Benevolent Merit is an exhibition space within the Tian Tan Buddha complex that houses displays and artifacts related to Buddhist culture and the monument’s religious significance.

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

Target predicate: exhibitionHallLevels
Context triple: [Tian Tan Buddha, exhibitionHallLevels, Hall of Benevolent Merit]

A. hasExhibitionFloors chosen
Indicates that an entity (typically a building or venue) possesses one or more floors or levels designated for exhibitions or displays.
B. numberOfSeatingLevels
Indicates the total count of distinct seating levels or tiers associated with a venue, structure, or seating arrangement.
C. fieldOfExhibition
Indicates the domain or area in which something is publicly presented, displayed, or exhibited.
D. exhibitionScale
Indicates the relative size, scope, or extent of an exhibition in which an entity is presented or involved.
E. numberOfExhibits
Indicates the total count of exhibits associated with a given entity or context.
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_69eee9b6b28481909332f83eb17e5170`	completed	April 27, 2026, 4:44 a.m.
NER	Named-entity recognition	`batch_69f61fd623bc819091df736cf3419b99`	completed	May 2, 2026, 4:01 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a12097909c08190ad68858afa30a187`	completed	May 23, 2026, 8:09 p.m.
NEDg	Description generation	`batch_6a120a8e2edc8190891be0f695a8c0e1`	completed	May 23, 2026, 8:14 p.m.
NED2	Entity disambiguation (via description)	`batch_6a120b9ce700819089a799bf42cbbac9`	completed	May 23, 2026, 8:18 p.m.
PD	Predicate disambiguation	`batch_69f61b3d23f481908dfec27adace900a`	completed	May 2, 2026, 3:41 p.m.

Created at: April 27, 2026, 4:52 a.m.