Triple

T7496754
Position Surface form Disambiguated ID Type / Status
Subject Liptovský Mikuláš E177149 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object LM
LM is the vehicle registration code used for cars registered in the town of Liptovský Mikuláš in Slovakia.
 E668594 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: LM | Statement: [Liptovský Mikuláš, vehicleRegistrationCode, LM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LM
Context triple: [Liptovský Mikuláš, vehicleRegistrationCode, LM]
  • A. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • B. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • C. Lm
    Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
  • D. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • E. LN
    LN is the postcode area designation for Lincoln and its surrounding region in the United Kingdom.
  • 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: LM
Triple: [Liptovský Mikuláš, vehicleRegistrationCode, LM]
Generated description
LM is the vehicle registration code used for cars registered in the town of Liptovský Mikuláš in Slovakia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LM
Target entity description: LM is the vehicle registration code used for cars registered in the town of Liptovský Mikuláš in Slovakia.
  • A. LM
    LM is the IATA airline designator assigned to Loganair, a regional airline based in Scotland.
  • B. LM
    LM is the Apollo Lunar Module, the spacecraft used by NASA during the Apollo program to land astronauts on the Moon and return them to lunar orbit.
  • C. Lm
    Lm is the currency symbol that was used to denote the Maltese lira, Malta’s former national currency before adoption of the euro.
  • D. LEM
    LEM is the original abbreviation for the Apollo Lunar Module, the spacecraft used by NASA astronauts to land on and ascend from the Moon during the Apollo missions.
  • E. LN
    LN is the postcode area designation for Lincoln and its surrounding region in the United Kingdom.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f57c86948190aa8ee765bd497850 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c8686cc8190bb1f7b09cdbebcf7 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83e31d54c8190aed9279181f1db2b completed March 28, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69c83ef9ce408190907a62c9d0a6dc16 completed March 28, 2026, 8:50 p.m.
Created at: March 27, 2026, 3:44 p.m.