Triple

T26119148
Position Surface form Disambiguated ID Type / Status
Subject Bandiana E658908 entity
Predicate hasMilitaryMuseum P37091 FINISHED
Object Army Museum Bandiana
Army Museum Bandiana is an Australian military museum in Victoria that preserves and exhibits the history, equipment, and heritage of the Australian Army.
 E1711974 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: Army Museum Bandiana | Statement: [Bandiana, hasMilitaryMuseum, Army Museum Bandiana]
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: Army Museum Bandiana
Triple: [Bandiana, hasMilitaryMuseum, Army Museum Bandiana]
Generated description
Army Museum Bandiana is an Australian military museum in Victoria that preserves and exhibits the history, equipment, and heritage of the Australian Army.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMilitaryMuseum
Context triple: [Bandiana, hasMilitaryMuseum, Army Museum Bandiana]
  • A. hasRegimentalMuseum
    Indicates that a military regiment possesses or is associated with a specific museum dedicated to its history, artifacts, and heritage.
  • B. hasMemorialMuseum
    Indicates that a memorial museum is dedicated to, associated with, or established in honor of a particular entity.
  • C. nationalMuseum
    Indicates that an entity functions as a primary, officially recognized museum representing a nation at the national level.
  • D. hasMuseumAt chosen
    Indicates that a museum is located at or exists in a specified place or location.
  • E. hasMuseumAtFormerHQ
    Indicates that a museum is located at the site of a former headquarters of an entity.
  • 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_69ee5bc20298819099a42be042eb2349 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f657f653448190a945b4751af8507d completed May 2, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1127560b9c8190b06a667dfb0d9926 completed May 23, 2026, 4:04 a.m.
NEDg Description generation batch_6a11539cf7c48190b2014ba36bd66cf3 completed May 23, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_6a1154903eac8190901702bf0c3e452a completed May 23, 2026, 7:17 a.m.
PD Predicate disambiguation batch_69f6575ba12081909396036f78757a76 completed May 2, 2026, 7:58 p.m.
Created at: April 26, 2026, 8:07 p.m.