Triple

T34224639

Position	Surface form	Disambiguated ID	Type / Status
Subject	Roe & Co	`E878011`	entity
Predicate	hasGeographicHeritage	`P66875`	FINISHED
Object	Liberties area of Dublin The Liberties area of Dublin is a historic inner-city district known for its long-standing brewing and distilling traditions, markets, and mix of old and new urban culture.	`E2086253`	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: Liberties area of Dublin | Statement: [Roe & Co, hasGeographicHeritage, Liberties area of Dublin]

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: Liberties area of Dublin
Triple: [Roe & Co, hasGeographicHeritage, Liberties area of Dublin]

Generated description

The Liberties area of Dublin is a historic inner-city district known for its long-standing brewing and distilling traditions, markets, and mix of old and new urban culture.

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

Target predicate: hasGeographicHeritage
Context triple: [Roe & Co, hasGeographicHeritage, Liberties area of Dublin]

A. hasHeritage
Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
B. hasCulturalHeritageOn
Indicates that one entity possesses, preserves, or is associated with the cultural heritage embodied in another entity.
C. hasHeritageRegion chosen
Indicates that an entity is associated with, originates from, or is culturally linked to a specific heritage region.
D. hasHeritageFocus
Indicates that something is primarily concerned with, dedicated to, or centered around heritage-related themes, values, or preservation.
E. hasHeritageFeature
Indicates that an entity possesses or includes a feature recognized as part of cultural, historical, or natural heritage.
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_69f349b16d0481908754e3069f05e0c1`	completed	April 30, 2026, 12:23 p.m.
NER	Named-entity recognition	`batch_69fd592e48cc81909d754cc6c4bd99ae`	completed	May 8, 2026, 3:31 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a36cc9a816081909e0a69426f97a96f`	completed	June 20, 2026, 5:23 p.m.
NEDg	Description generation	`batch_6a36cd5b9ff48190b9e6d76abfff3295`	completed	June 20, 2026, 5:26 p.m.
NED2	Entity disambiguation (via description)	`batch_6a36ce3e3e48819091aece379948e411`	completed	June 20, 2026, 5:30 p.m.
PD	Predicate disambiguation	`batch_69fd58b7f9b881909dc099b28d567784`	completed	May 8, 2026, 3:30 a.m.

Created at: May 1, 2026, 1:55 a.m.