Triple

T17292239
Position Surface form Disambiguated ID Type / Status
Subject Łódź Żabieniec railway station E419811 entity
Predicate hasNameInPolish P15778 FINISHED
Object Łódź Żabieniec
Łódź Żabieniec is a railway station in the Polish city of Łódź that serves as a local and regional transport hub.
 E1260880 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: Łódź Żabieniec | Statement: [Łódź Żabieniec railway station, hasNameInPolish, Łódź Żabieniec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Łódź Żabieniec
Context triple: [Łódź Żabieniec railway station, hasNameInPolish, Łódź Żabieniec]
  • A. Żabno
    Żabno is a small town in southern Poland, historically situated in the former Tarnów Voivodeship and known for its local trade and agricultural surroundings.
  • B. Lubień
    Lubień is a village in southern Poland, known here as the place where prominent historian and politician Bronisław Geremek died.
  • C. Zabierzów
    Zabierzów is a village in southern Poland that serves as the administrative seat of its rural commune near the city of Kraków.
  • D. Zułowo
    Zułowo is a village in present-day Lithuania best known as the birthplace of Józef Piłsudski, a key figure in Poland’s struggle for independence.
  • E. Łowicz
    Łowicz is a historic town in central Poland known for its rich folk traditions, distinctive regional costumes, and baroque architecture.
  • 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: Łódź Żabieniec
Triple: [Łódź Żabieniec railway station, hasNameInPolish, Łódź Żabieniec]
Generated description
Łódź Żabieniec is a railway station in the Polish city of Łódź that serves as a local and regional transport hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Łódź Żabieniec
Target entity description: Łódź Żabieniec is a railway station in the Polish city of Łódź that serves as a local and regional transport hub.
  • A. Żabno
    Żabno is a small town in southern Poland, historically situated in the former Tarnów Voivodeship and known for its local trade and agricultural surroundings.
  • B. Lubień
    Lubień is a village in southern Poland, known here as the place where prominent historian and politician Bronisław Geremek died.
  • C. Zabierzów
    Zabierzów is a village in southern Poland that serves as the administrative seat of its rural commune near the city of Kraków.
  • D. Zułowo
    Zułowo is a village in present-day Lithuania best known as the birthplace of Józef Piłsudski, a key figure in Poland’s struggle for independence.
  • E. Łowicz
    Łowicz is a historic town in central Poland known for its rich folk traditions, distinctive regional costumes, and baroque architecture.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4378438508190924f732ad748b4d0 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017959ffb0819099d70ed1541158ee completed May 11, 2026, 6:38 a.m.
NEDg Description generation batch_6a017c9e99888190a99e3910c46d90c5 completed May 11, 2026, 6:52 a.m.
NED2 Entity disambiguation (via description) batch_6a017d340b988190a468753604150bd3 completed May 11, 2026, 6:54 a.m.
Created at: April 10, 2026, 5:40 a.m.