Triple

T4310350
Position Surface form Disambiguated ID Type / Status
Subject Maitland railway station E94056 entity
Predicate hasFareSystem P395 FINISHED
Object Opal
Opal is a contactless smartcard-based public transport ticketing system used across New South Wales, Australia.
 E429019 NE FINISHED

How this triple was built (4 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: Opal | Statement: [Maitland railway station, hasFareSystem, Opal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Opal
Context triple: [Maitland railway station, hasFareSystem, Opal]
  • A. Opal
    Opal is a precious gemstone renowned for its vibrant play-of-color and is especially associated with major deposits in Australia.
  • B. Sapphire
    Sapphire is an American author best known for her novel "Push," which was adapted into the acclaimed film "Precious."
  • C. Beryl
    Beryl is a given name that can be used for people of any gender, historically more common as a female name in English-speaking countries.
  • D. Amber
    Amber is a historic town near Jaipur in Rajasthan, India, renowned for its hilltop Amber Fort and rich Rajput architectural heritage.
  • E. Amber
    Amber is a character from the film "Green Room," a tense horror-thriller about a punk band trapped in a remote venue controlled by violent neo-Nazis.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Opal
Triple: [Maitland railway station, hasFareSystem, Opal]
Generated description
Opal is a contactless smartcard-based public transport ticketing system used across New South Wales, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Opal
Target entity description: Opal is a contactless smartcard-based public transport ticketing system used across New South Wales, Australia.
  • A. Opal
    Opal is a precious gemstone renowned for its vibrant play-of-color and is especially associated with major deposits in Australia.
  • B. Sapphire
    Sapphire is an American author best known for her novel "Push," which was adapted into the acclaimed film "Precious."
  • C. Beryl
    Beryl is a given name that can be used for people of any gender, historically more common as a female name in English-speaking countries.
  • D. Amber
    Amber is a historic town near Jaipur in Rajasthan, India, renowned for its hilltop Amber Fort and rich Rajput architectural heritage.
  • E. Amber
    Amber is a character from the film "Green Room," a tense horror-thriller about a punk band trapped in a remote venue controlled by violent neo-Nazis.
  • F. None of above. chosen

Provenance (5 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d55d748190a57fabcf58782dba completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c759b65081909b02db56febbc484 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c7f462488190ab0848f82467cb91 completed March 14, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69b5c8a0c0bc8190beba56664874ed9b completed March 14, 2026, 8:44 p.m.
Created at: March 12, 2026, 11:11 p.m.