Triple

T3305590
Position Surface form Disambiguated ID Type / Status
Subject Plan-les-Ouates E69440 entity
Predicate hasIndustrialZone P13026 FINISHED
Object ZIPLO
ZIPLO is an industrial and business zone located in the municipality of Plan-les-Ouates in the canton of Geneva, Switzerland.
 E347161 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: ZIPLO | Statement: [Plan-les-Ouates, hasIndustrialZone, ZIPLO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZIPLO
Context triple: [Plan-les-Ouates, hasIndustrialZone, ZIPLO]
  • A. Zip
    "Zip" is a witty, patter-style show tune from the Rodgers and Hart musical *Pal Joey*, known for its satirical take on intellectual pretension.
  • B. ZLP
    ZLP is the IATA station code for Zürich Hauptbahnhof, the main railway station in Zurich, Switzerland.
  • C. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • D. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • E. Zip2
    Zip2 was an early online city guide and business directory software company from the late 1990s that provided web-based publishing tools for newspapers.
  • 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: ZIPLO
Triple: [Plan-les-Ouates, hasIndustrialZone, ZIPLO]
Generated description
ZIPLO is an industrial and business zone located in the municipality of Plan-les-Ouates in the canton of Geneva, Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZIPLO
Target entity description: ZIPLO is an industrial and business zone located in the municipality of Plan-les-Ouates in the canton of Geneva, Switzerland.
  • A. Zip
    "Zip" is a witty, patter-style show tune from the Rodgers and Hart musical *Pal Joey*, known for its satirical take on intellectual pretension.
  • B. ZLP
    ZLP is the IATA station code for Zürich Hauptbahnhof, the main railway station in Zurich, Switzerland.
  • C. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • D. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • E. Zip2
    Zip2 was an early online city guide and business directory software company from the late 1990s that provided web-based publishing tools for newspapers.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c9470881908c36c1984fdbb67b completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3e6e55881909417d54e0d8f0a26 completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2fa93ebc0819084c4cdfdb8d6e48d completed March 12, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69b312b6e224819080957998acbed524 completed March 12, 2026, 7:23 p.m.
Created at: March 8, 2026, 3:11 p.m.