Triple

T27960246

Position	Surface form	Disambiguated ID	Type / Status
Subject	Arrowtown	`E704557`	entity
Predicate	hasEthnicHeritageSite	`P166613`	FINISHED
Object	Arrowtown Chinese Settlement Arrowtown Chinese Settlement is a preserved 19th-century gold-mining era village in Arrowtown, New Zealand, that showcases the lives and hardships of early Chinese immigrant miners.	`E1796962`	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: Arrowtown Chinese Settlement | Statement: [Arrowtown, hasEthnicHeritageSite, Arrowtown Chinese Settlement]

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: Arrowtown Chinese Settlement
Triple: [Arrowtown, hasEthnicHeritageSite, Arrowtown Chinese Settlement]

Generated description

Arrowtown Chinese Settlement is a preserved 19th-century gold-mining era village in Arrowtown, New Zealand, that showcases the lives and hardships of early Chinese immigrant miners.

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

Target predicate: hasEthnicHeritageSite
Context triple: [Arrowtown, hasEthnicHeritageSite, Arrowtown Chinese Settlement]

A. hasHeritageOfSite
Indicates that a site possesses or is associated with a particular heritage designation, tradition, or cultural-historical value.
B. hasEthnographicSite chosen
Indicates that one entity possesses, contains, or is associated with an ethnographic site used for cultural or anthropological study.
C. hasCulturalHeritageOn
Indicates that one entity possesses, preserves, or is associated with the cultural heritage embodied in another entity.
D. hasHeritage
Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
E. hasHeritageValueFor
Indicates that something possesses cultural, historical, or heritage significance for a particular entity or community.
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_69ef841061e48190b5570f9562f7434d`	completed	April 27, 2026, 3:43 p.m.
NER	Named-entity recognition	`batch_69f69edbb7648190bd89c57e0932eac1`	completed	May 3, 2026, 1:03 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a13116d59c88190bb9f465e0b8e8517`	completed	May 24, 2026, 2:55 p.m.
NEDg	Description generation	`batch_6a13123ff90c8190990bfee6acf6bec0`	completed	May 24, 2026, 2:59 p.m.
NED2	Entity disambiguation (via description)	`batch_6a1313b4fa4c81909b37b7a51f926f45`	completed	May 24, 2026, 3:05 p.m.
PD	Predicate disambiguation	`batch_69f69d17e8d48190b30bcc2f4bd81eb2`	completed	May 3, 2026, 12:55 a.m.

Created at: April 27, 2026, 7:31 p.m.