Triple

T3036753
Position Surface form Disambiguated ID Type / Status
Subject Cracovia E83028 entity
Predicate nickname P55 FINISHED
Object Pasy
Pasy is the popular nickname of the Polish football club Cracovia, one of the oldest and most historic teams in Poland.
 E320393 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: Pasy | Statement: [Cracovia, nickname, Pasy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pasy
Context triple: [Cracovia, nickname, Pasy]
  • A. Pasym
    Pasym is a small historic town in northern Poland known for its lakeside setting and traditional Warmian-Masurian architecture.
  • B. Passabe
    Passabe is a village and administrative post in the Oecusse exclave of Timor-Leste, known for its remote location and its role in the region’s political and social history.
  • C. Passu
    Passu is a picturesque village in northern Pakistan’s Gilgit-Baltistan region, renowned for its dramatic mountain scenery, including the Passu Cones, and its location along the Karakoram Highway.
  • D. Pavas
    Pavas is a populous urban district in the canton of San José, Costa Rica, known for its residential neighborhoods, commercial areas, and the Tobías Bolaños International Airport.
  • E. Punasa
    Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
  • 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: Pasy
Triple: [Cracovia, nickname, Pasy]
Generated description
Pasy is the popular nickname of the Polish football club Cracovia, one of the oldest and most historic teams in Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pasy
Target entity description: Pasy is the popular nickname of the Polish football club Cracovia, one of the oldest and most historic teams in Poland.
  • A. Pasym
    Pasym is a small historic town in northern Poland known for its lakeside setting and traditional Warmian-Masurian architecture.
  • B. Passabe
    Passabe is a village and administrative post in the Oecusse exclave of Timor-Leste, known for its remote location and its role in the region’s political and social history.
  • C. Passu
    Passu is a picturesque village in northern Pakistan’s Gilgit-Baltistan region, renowned for its dramatic mountain scenery, including the Passu Cones, and its location along the Karakoram Highway.
  • D. Pavas
    Pavas is a populous urban district in the canton of San José, Costa Rica, known for its residential neighborhoods, commercial areas, and the Tobías Bolaños International Airport.
  • E. Punasa
    Punasa is a town in Madhya Pradesh, India, known for its proximity to the major Indira Sagar Dam on the Narmada River.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b2cd4988190b52fe3616ecbe9ef completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dec8778c8190a5e06a29a0218404 completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1e2c4aaa88190bb5e39c51d0583f0 completed March 11, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69b1e3228f488190b13c948c6c5d13d0 completed March 11, 2026, 9:48 p.m.
Created at: March 8, 2026, 3:01 p.m.