Triple

T4721504
Position Surface form Disambiguated ID Type / Status
Subject Venice Marco Polo Airport E104776 entity
Predicate ICAOcode P419 FINISHED
Object LIPZ
LIPZ is the ICAO airport code for Venice Marco Polo Airport, the main international airport serving Venice, Italy.
 E464890 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: LIPZ | Statement: [Venice Marco Polo Airport, ICAOcode, LIPZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LIPZ
Context triple: [Venice Marco Polo Airport, ICAOcode, LIPZ]
  • A. LIP
    LIP is the vehicle registration code for the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
  • B. LIPE
    LIPE is the ICAO airport code for Bologna Guglielmo Marconi Airport in Bologna, Italy.
  • C. Lipanal
    Lipanal is a traditional seasonal festival celebrated within Svan culture, reflecting the community’s distinctive highland customs and rituals.
  • D. Lipí
    Lipí is a small locality or village that forms part of the administrative area of the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • E. Lipikar
    Lipikar is La Roche-Posay’s dermatological body-care line formulated to hydrate, protect, and soothe dry to very dry and sensitive skin.
  • 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: LIPZ
Triple: [Venice Marco Polo Airport, ICAOcode, LIPZ]
Generated description
LIPZ is the ICAO airport code for Venice Marco Polo Airport, the main international airport serving Venice, Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LIPZ
Target entity description: LIPZ is the ICAO airport code for Venice Marco Polo Airport, the main international airport serving Venice, Italy.
  • A. LIP
    LIP is the vehicle registration code for the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
  • B. LIPE
    LIPE is the ICAO airport code for Bologna Guglielmo Marconi Airport in Bologna, Italy.
  • C. Lipanal
    Lipanal is a traditional seasonal festival celebrated within Svan culture, reflecting the community’s distinctive highland customs and rituals.
  • D. Lipí
    Lipí is a small locality or village that forms part of the administrative area of the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • E. Lipikar
    Lipikar is La Roche-Posay’s dermatological body-care line formulated to hydrate, protect, and soothe dry to very dry and sensitive skin.
  • 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_69bd43ec4a348190bc41afae43375e71 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd642a1a808190afeefc9d65e6c539 completed March 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1094fd9c81909e12723394f9ae0a completed March 21, 2026, 3:29 a.m.
NEDg Description generation batch_69be12b1c9088190bb6b307bfc46b75c completed March 21, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_69be1318d494819084fac7c6d16db4e5 completed March 21, 2026, 3:40 a.m.
Created at: March 20, 2026, 1:18 p.m.