Triple

T37983653

Position	Surface form	Disambiguated ID	Type / Status
Subject	Opal CBD zone	`E947624`	entity
Predicate	farePolicyFunction	`P142505`	FINISHED
Object	defines central area for Opal fare rules The Opal CBD zone is a designated central Sydney area used to determine how Opal public transport fares are calculated.	`E2252265`	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: defines central area for Opal fare rules | Statement: [Opal CBD zone, farePolicyFunction, defines central area for Opal fare rules]

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: defines central area for Opal fare rules
Triple: [Opal CBD zone, farePolicyFunction, defines central area for Opal fare rules]

Generated description

The Opal CBD zone is a designated central Sydney area used to determine how Opal public transport fares are calculated.

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

Target predicate: farePolicyFunction
Context triple: [Opal CBD zone, farePolicyFunction, defines central area for Opal fare rules]

A. farePolicySource
Indicates the origin or authority from which a particular fare policy is derived or defined.
B. farePolicyType
Indicates the type or category of fare policy that governs how prices, rules, or conditions are applied.
C. farePolicyAspect chosen
Indicates a specific rule, condition, or feature that characterizes some aspect of a fare policy.
D. farePolicyRelatedTo
Indicates a relationship where a fare policy is associated with, applies to, or governs a particular entity, context, or service.
E. farePolicySupport
Indicates that there is a policy in place governing fares (such as prices, discounts, or rules) that is recognized, enabled, or supported in the given 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_69f76ef8a1d08190a741bbbc5970e3b3`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_69fbc995dc2481908b3bd4217f8101e7`	completed	May 6, 2026, 11:07 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a412cb3daa08190b8de92abb033b179`	completed	June 28, 2026, 2:16 p.m.
NEDg	Description generation	`batch_6a414f16c30881909b899adaaf164d5a`	completed	June 28, 2026, 4:43 p.m.
NED2	Entity disambiguation (via description)	`batch_6a414fd8e7308190be57be1579de500c`	completed	June 28, 2026, 4:46 p.m.
PD	Predicate disambiguation	`batch_69fbc8ee04f08190977b7ad70fc85896`	completed	May 6, 2026, 11:04 p.m.

Created at: May 3, 2026, 4:20 p.m.