Triple

T7285514
Position Surface form Disambiguated ID Type / Status
Subject Lüderitz Airport E163855 entity
Predicate iataCode P2569 FINISHED
Object LUD
LUD is the IATA airport code for Lüderitz Airport, a regional airport serving the coastal town of Lüderitz in Namibia.
 E653382 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: LUD | Statement: [Lüderitz Airport, iataCode, LUD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LUD
Context triple: [Lüderitz Airport, iataCode, LUD]
  • A. Ludes
    Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
  • B. Ludens
    Ludens is the futuristic, spacesuit-clad mascot character of Kojima Productions, prominently featured in the studio’s branding and promotional materials.
  • C. Ludza
    Ludza is one of the principal towns of the Latgale region in eastern Latvia, known for its historic castle ruins and status as one of the country’s oldest settlements.
  • D. Ludag
    Ludag is a small coastal settlement on the island of South Uist in Scotland’s Outer Hebrides.
  • E. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • 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: LUD
Triple: [Lüderitz Airport, iataCode, LUD]
Generated description
LUD is the IATA airport code for Lüderitz Airport, a regional airport serving the coastal town of Lüderitz in Namibia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LUD
Target entity description: LUD is the IATA airport code for Lüderitz Airport, a regional airport serving the coastal town of Lüderitz in Namibia.
  • A. Ludes
    Ludes is a wine-producing village in France’s Champagne region, known for its vineyards on the Montagne de Reims.
  • B. Ludens
    Ludens is the futuristic, spacesuit-clad mascot character of Kojima Productions, prominently featured in the studio’s branding and promotional materials.
  • C. Ludza
    Ludza is one of the principal towns of the Latgale region in eastern Latvia, known for its historic castle ruins and status as one of the country’s oldest settlements.
  • D. Ludag
    Ludag is a small coastal settlement on the island of South Uist in Scotland’s Outer Hebrides.
  • E. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb51a8bc8190a3e1ec09ee1aeb38 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db3e1fd081908457b8202c43f64f completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dc3dd6f88190bf82d22b2cb506a4 completed March 28, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69c7dc951d88819098c6053ddd2e981b completed March 28, 2026, 1:50 p.m.
Created at: March 27, 2026, 2:59 p.m.