Triple

T2625009
Position Surface form Disambiguated ID Type / Status
Subject Old Parliament House, Canberra E59095 entity
Predicate alsoKnownAs P39 FINISHED
Object OPH
OPH is an abbreviation commonly used for Old Parliament House, the historic former seat of the Australian Parliament in Canberra.
 E284371 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: OPH | Statement: [Old Parliament House, Canberra, alsoKnownAs, OPH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OPH
Context triple: [Old Parliament House, Canberra, alsoKnownAs, OPH]
  • A. O.P.
    O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
  • B. OPAL
    OPAL was one of the major particle physics experiments at CERN’s Large Electron–Positron Collider, designed to study electron-positron collisions and probe the Standard Model.
  • C. OPO
    OPO is the vehicle registration code assigned to the Polish city of Opole.
  • D. OPA
    OPA is a U.S. federal law enacted in 1990 that strengthens regulations and liability standards for preventing and responding to oil spills in navigable waters and shorelines.
  • E. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • 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: OPH
Triple: [Old Parliament House, Canberra, alsoKnownAs, OPH]
Generated description
OPH is an abbreviation commonly used for Old Parliament House, the historic former seat of the Australian Parliament in Canberra.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OPH
Target entity description: OPH is an abbreviation commonly used for Old Parliament House, the historic former seat of the Australian Parliament in Canberra.
  • A. O.P.
    O.P. is a common abbreviation that can stand for various phrases such as “original poster,” “original post,” or “out of print,” depending on the context in which it is used.
  • B. OPAL
    OPAL was one of the major particle physics experiments at CERN’s Large Electron–Positron Collider, designed to study electron-positron collisions and probe the Standard Model.
  • C. OPO
    OPO is the vehicle registration code assigned to the Polish city of Opole.
  • D. OPA
    OPA is a U.S. federal law enacted in 1990 that strengthens regulations and liability standards for preventing and responding to oil spills in navigable waters and shorelines.
  • E. OFR
    OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b061a08190b7a8459851abaae2 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af909e02d0819082377681f4376531 completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af9359975c8190b76029f4555039f9 completed March 10, 2026, 3:43 a.m.
NED2 Entity disambiguation (via description) batch_69af941e2d588190a9754df030d25301 completed March 10, 2026, 3:46 a.m.
Created at: March 6, 2026, 9:50 p.m.