Triple

T7459076
Position Surface form Disambiguated ID Type / Status
Subject Zofri E176198 entity
Predicate shortName P43 FINISHED
Object 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.
E665889 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: ZOFRI | Statement: [Zofri, shortName, ZOFRI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZOFRI
Context triple: [Zofri, shortName, ZOFRI]
  • A. ZSOF
    ZSOF is the ICAO airport code for Hefei Xinqiao International Airport, the main commercial airport serving Hefei in Anhui Province, China.
  • B. SZFO
    SZFO is the commonly used abbreviation for the Northwestern Federal District, an administrative region of the Russian Federation.
  • C. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • D. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • E. Zog
    Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
  • 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: ZOFRI
Triple: [Zofri, shortName, ZOFRI]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZOFRI
Target entity description: 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.
  • A. ZSOF
    ZSOF is the ICAO airport code for Hefei Xinqiao International Airport, the main commercial airport serving Hefei in Anhui Province, China.
  • B. SZFO
    SZFO is the commonly used abbreviation for the Northwestern Federal District, an administrative region of the Russian Federation.
  • C. FZ
    FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
  • D. FZ
    FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
  • E. Zog
    Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
  • 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_69c69f21632481908bf83f6c6da897e3 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f3d332d08190a05c92a00ed09ac6 completed March 27, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827c73ce081909e31e272c8a752b6 completed March 28, 2026, 7:11 p.m.
NEDg Description generation batch_69c82bd3fe8c819098afb0d51e69383b completed March 28, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_69c82c2437d08190a1b4cf44cd51df03 completed March 28, 2026, 7:29 p.m.
Created at: March 27, 2026, 3:37 p.m.