Triple

T29051939

Position	Surface form	Disambiguated ID	Type / Status
Subject	Salisbury, South Australia	`E735281`	entity
Predicate	hasCouncilOffices	`P101558`	FINISHED
Object	City of Salisbury council chambers The City of Salisbury council chambers is the main administrative and meeting venue for the local government of Salisbury in South Australia.	`E1847328`	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: City of Salisbury council chambers | Statement: [Salisbury, South Australia, hasCouncilOffices, City of Salisbury council chambers]

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: City of Salisbury council chambers
Triple: [Salisbury, South Australia, hasCouncilOffices, City of Salisbury council chambers]

Generated description

The City of Salisbury council chambers is the main administrative and meeting venue for the local government of Salisbury in South Australia.

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

Target predicate: hasCouncilOffices
Context triple: [Salisbury, South Australia, hasCouncilOffices, City of Salisbury council chambers]

A. hasCouncilChambers chosen
Indicates that an entity possesses or contains designated rooms or facilities used for council meetings or deliberations.
B. hasCouncilStructure
Indicates that an entity is organized or governed according to a specific council-based structure or system.
C. hasBoardOffices
Indicates that an organization maintains official board offices or board-level administrative locations.
D. hasCouncilSeat
Indicates that an entity holds a position or seat on a governing council.
E. hasCouncillors
Indicates that an entity is associated with one or more councillors who serve or represent it in an official capacity.
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_69f077e64b88819094d37bdbca8191b3`	completed	April 28, 2026, 9:03 a.m.
NER	Named-entity recognition	`batch_6a002e71bdc48190b922f2d3b362d259`	completed	May 10, 2026, 7:06 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a251f77b5888190911f271c7d2f2f8c`	completed	June 7, 2026, 7:36 a.m.
NEDg	Description generation	`batch_6a2523ff3900819093dcccd970c9cea5`	completed	June 7, 2026, 7:55 a.m.
NED2	Entity disambiguation (via description)	`batch_6a2527e464508190a8e46b839fca593d`	completed	June 7, 2026, 8:12 a.m.
PD	Predicate disambiguation	`batch_6a002e1a28708190b65f9e657c770bab`	completed	May 10, 2026, 7:04 a.m.

Created at: April 28, 2026, 10:08 a.m.