Triple

T6183420
Position Surface form Disambiguated ID Type / Status
Subject Zadar Airport E137997 entity
Predicate ICAO code P419 FINISHED
Object LDZD
LDZD is the ICAO airport code assigned to Zadar Airport in Croatia.
 E574221 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: LDZD | Statement: [Zadar Airport, ICAO code, LDZD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LDZD
Context triple: [Zadar Airport, ICAO code, LDZD]
  • A. LZ
    LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
  • B. LZ
    LZ is the vehicle registration code assigned to the municipality of Kals am Großglockner in Austria.
  • C. LZB
    LZB is a continuous automatic train control and cab signaling system used on high-speed and heavy-traffic railway lines, particularly in Germany and neighboring countries.
  • D. ZDH
    ZDH is the IATA station code for Basel SBB, the main Swiss railway station in Basel that connects major national and international train services.
  • E. ASDZ
    ASDZ is the station code used to identify Amsterdam Zuid railway station in the Netherlands.
  • 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: LDZD
Triple: [Zadar Airport, ICAO code, LDZD]
Generated description
LDZD is the ICAO airport code assigned to Zadar Airport in Croatia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LDZD
Target entity description: LDZD is the ICAO airport code assigned to Zadar Airport in Croatia.
  • A. LZ
    LZ is the vehicle registration code assigned to the municipality of Kals am Großglockner in Austria.
  • B. LZ
    LZ is the stock ticker symbol for The Lubrizol Corporation, a specialty chemicals company known for its lubricant additives and advanced materials.
  • C. LZB
    LZB is a continuous automatic train control and cab signaling system used on high-speed and heavy-traffic railway lines, particularly in Germany and neighboring countries.
  • D. ZDH
    ZDH is the IATA station code for Basel SBB, the main Swiss railway station in Basel that connects major national and international train services.
  • E. ASDZ
    ASDZ is the station code used to identify Amsterdam Zuid railway station in the Netherlands.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06100c2b0819097f287e86f63d590 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c6b5888190983bff620c7663cc completed March 23, 2026, 1:36 p.m.
NEDg Description generation batch_69c1472997d081909266b0e64fdbfe96 completed March 23, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69c147b5214c819082c20480965842be completed March 23, 2026, 2:01 p.m.
Created at: March 22, 2026, 4:19 p.m.