Triple

T11217673
Position Surface form Disambiguated ID Type / Status
Subject Liquiñe-Ofqui Fault Zone E265478 entity
Predicate abbreviation P43 FINISHED
Object LOFZ
LOFZ is a major geological fault system in southern Chile known for its significant tectonic and volcanic activity.
 E911315 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: LOFZ | Statement: [Liquiñe-Ofqui Fault Zone, abbreviation, LOFZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LOFZ
Context triple: [Liquiñe-Ofqui Fault Zone, abbreviation, LOFZ]
  • A. LOF
    LOF is the ICAO airline designator used to identify Trans States Airlines in aviation operations and communications.
  • B. ZOFRI
    ZOFRI is a major free trade zone and commercial hub located in Iquique, Chile, serving as a key center for import, export, and regional distribution.
  • C. LÖ
    LÖ is the vehicle registration code for the district of Lörrach in the German state of Baden-Württemberg.
  • D. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • E. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • 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: LOFZ
Triple: [Liquiñe-Ofqui Fault Zone, abbreviation, LOFZ]
Generated description
LOFZ is a major geological fault system in southern Chile known for its significant tectonic and volcanic activity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LOFZ
Target entity description: LOFZ is a major geological fault system in southern Chile known for its significant tectonic and volcanic activity.
  • A. LOF
    LOF is the ICAO airline designator used to identify Trans States Airlines in aviation operations and communications.
  • B. ZOFRI
    ZOFRI is a major free trade zone and commercial hub located in Iquique, Chile, serving as a key center for import, export, and regional distribution.
  • C. LÖ
    LÖ is the vehicle registration code for the district of Lörrach in the German state of Baden-Württemberg.
  • D. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • E. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ea19e8819095d5d02c1f145534 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4976f38788190855aed6338d819b7 completed April 19, 2026, 8:50 a.m.
NEDg Description generation batch_69e49d37989881909c7e75ddfff06726 completed April 19, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_69e49f41a1f8819087cc15527dc7ff63 completed April 19, 2026, 9:24 a.m.
Created at: April 8, 2026, 9:30 p.m.