Triple

T15984793
Position Surface form Disambiguated ID Type / Status
Subject Aigen im Ennstal Air Base E387664 entity
Predicate ICAOCode P419 FINISHED
Object LOXA
LOXA is the ICAO airport code assigned to Aigen im Ennstal Air Base in Austria.
E1188166 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: LOXA | Statement: [Aigen im Ennstal Air Base, ICAOCode, LOXA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LOXA
Context triple: [Aigen im Ennstal Air Base, ICAOCode, LOXA]
  • A. Plaxtol
    Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
  • B. LOXO
    LOXO was the stock ticker symbol for Loxo Oncology, a biopharmaceutical company focused on developing targeted cancer therapies before its acquisition.
  • C. Novafora
    Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
  • D. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • E. Andexxa
    Andexxa is a recombinant modified human factor Xa protein used as a reversal agent to counteract the anticoagulant effects of factor Xa inhibitors such as rivaroxaban and apixaban.
  • 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: LOXA
Triple: [Aigen im Ennstal Air Base, ICAOCode, LOXA]
Generated description
LOXA is the ICAO airport code assigned to Aigen im Ennstal Air Base in Austria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LOXA
Target entity description: LOXA is the ICAO airport code assigned to Aigen im Ennstal Air Base in Austria.
  • A. Plaxtol
    Plaxtol is a small rural village and civil parish in Kent, England, known for its historic buildings and surrounding countryside.
  • B. LOXO
    LOXO was the stock ticker symbol for Loxo Oncology, a biopharmaceutical company focused on developing targeted cancer therapies before its acquisition.
  • C. Novafora
    Novafora was a semiconductor company known for acquiring Transmeta to expand its presence in low-power microprocessor and video processing technologies.
  • D. Opekta
    Opekta was a German-Dutch company that produced and sold pectin-based gelling agents for making jam, notably managed in its Amsterdam branch by Anne Frank’s father, Otto Frank.
  • E. Andexxa
    Andexxa is a recombinant modified human factor Xa protein used as a reversal agent to counteract the anticoagulant effects of factor Xa inhibitors such as rivaroxaban and apixaban.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15757a3548190900de1962308f6b8 completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3cdf7848190848e9081027dc027 completed May 9, 2026, 11:31 p.m.
NEDg Description generation batch_69ffc5669c1c81909bacf61c96cb7816 completed May 9, 2026, 11:38 p.m.
NED2 Entity disambiguation (via description) batch_69ffc5c7db1c8190b4e1de6f6e3ce8a0 completed May 9, 2026, 11:39 p.m.
Created at: April 10, 2026, 4:54 a.m.