Triple

T17210392
Position Surface form Disambiguated ID Type / Status
Subject Łódź tram network E417712 entity
Predicate serves P98 FINISHED
Object Konstantynów Łódzki
Konstantynów Łódzki is a town in central Poland, located near the city of Łódź and functionally integrated with it as part of its suburban area.
 E1255349 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: Konstantynów Łódzki | Statement: [Łódź tram network, serves, Konstantynów Łódzki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Konstantynów Łódzki
Context triple: [Łódź tram network, serves, Konstantynów Łódzki]
  • A. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
  • B. Kalisz
    Kalisz is one of Poland’s oldest cities, located in the Greater Poland region and known for its historical architecture and cultural heritage.
  • C. Kielce
    Kielce is a city in south-central Poland known as an important regional center for industry, education, and culture.
  • D. Lubin
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • E. Łódź
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • 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: Konstantynów Łódzki
Triple: [Łódź tram network, serves, Konstantynów Łódzki]
Generated description
Konstantynów Łódzki is a town in central Poland, located near the city of Łódź and functionally integrated with it as part of its suburban area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Konstantynów Łódzki
Target entity description: Konstantynów Łódzki is a town in central Poland, located near the city of Łódź and functionally integrated with it as part of its suburban area.
  • A. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
  • B. Kalisz
    Kalisz is one of Poland’s oldest cities, located in the Greater Poland region and known for its historical architecture and cultural heritage.
  • C. Kielce
    Kielce is a city in south-central Poland known as an important regional center for industry, education, and culture.
  • D. Lubin
    Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
  • E. Łódź
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc4792081909443df7937768ede completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fe217308190b6ae1e98d0c421e4 completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a0160e95f1481908058aed285968991 completed May 11, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_6a01617888ac8190af2a91a4bd28b402 completed May 11, 2026, 4:56 a.m.
Created at: April 10, 2026, 5:38 a.m.