Triple

T7365689
Position Surface form Disambiguated ID Type / Status
Subject City of Wodonga E169863 entity
Predicate hasSuburb P747 FINISHED
Object Bandiana
Bandiana is a suburb in the Australian state of Victoria, known primarily for its military facilities and proximity to the regional city of Wodonga.
 E658908 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: Bandiana | Statement: [City of Wodonga, hasSuburb, Bandiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bandiana
Context triple: [City of Wodonga, hasSuburb, Bandiana]
  • A. Bonda
    Bonda is an archaeological site associated with the pre-Columbian Tairona culture in northern Colombia.
  • B. Dola
    Dola is an island located within Lake Rakshastal in western Tibet, near the sacred Mount Kailash region.
  • C. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • D. Banda
    Banda is a city in the Bundelkhand region of Uttar Pradesh, India, known for its historical significance and proximity to the Ken River.
  • E. Bang-e-Dara
    Bang-e-Dara is a celebrated Urdu poetry collection by philosopher-poet Allama Muhammad Iqbal that traces his intellectual and spiritual evolution and played a key role in inspiring Muslim political consciousness in South Asia.
  • 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: Bandiana
Triple: [City of Wodonga, hasSuburb, Bandiana]
Generated description
Bandiana is a suburb in the Australian state of Victoria, known primarily for its military facilities and proximity to the regional city of Wodonga.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bandiana
Target entity description: Bandiana is a suburb in the Australian state of Victoria, known primarily for its military facilities and proximity to the regional city of Wodonga.
  • A. Bonda
    Bonda is an archaeological site associated with the pre-Columbian Tairona culture in northern Colombia.
  • B. Dola
    Dola is an island located within Lake Rakshastal in western Tibet, near the sacred Mount Kailash region.
  • C. Baniata
    Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
  • D. Banda
    Banda is a city in the Bundelkhand region of Uttar Pradesh, India, known for its historical significance and proximity to the Ken River.
  • E. Bang-e-Dara
    Bang-e-Dara is a celebrated Urdu poetry collection by philosopher-poet Allama Muhammad Iqbal that traces his intellectual and spiritual evolution and played a key role in inspiring Muslim political consciousness in South Asia.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f163038481909dedbffb4ae7f860 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fab9820c8190aa8b519a0852af6e completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fbffbc7881909a5b4e877a735848 completed March 28, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69c7fcb5f7f0819081e70f8809bb34ae completed March 28, 2026, 4:07 p.m.
Created at: March 27, 2026, 3:06 p.m.