Triple

T19734846
Position Surface form Disambiguated ID Type / Status
Subject Umaria district E473951 entity
Predicate hasMajorTown P316 FINISHED
Object Nowrozabad
Nowrozabad is a town in the Umaria district of Madhya Pradesh, India, known primarily for its coal mining activities.
E1392246 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: Nowrozabad | Statement: [Umaria district, hasMajorTown, Nowrozabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nowrozabad
Context triple: [Umaria district, hasMajorTown, Nowrozabad]
  • A. Nowy Targ
    Nowy Targ is a historic town in southern Poland, regarded as the main urban center of the Podhale region and a gateway to the Tatra Mountains.
  • B. Nowe Miasto
    Nowe Miasto is a village and administrative seat of its own gmina in the Masovian Voivodeship of east-central Poland.
  • C. Nowa Sól
    Nowa Sól is a town in western Poland known as an important local industrial and river port center on the Oder River.
  • D. Przemyśl
    Przemyśl is a historic city in southeastern Poland near the Ukrainian border, known for its strategic location, multicultural heritage, and well-preserved fortifications.
  • E. Lutobor
    Lutobor is a figure from Czech legend and literature associated with the mythic narratives surrounding the prophetess Libuše and the early history of Bohemia.
  • 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: Nowrozabad
Triple: [Umaria district, hasMajorTown, Nowrozabad]
Generated description
Nowrozabad is a town in the Umaria district of Madhya Pradesh, India, known primarily for its coal mining activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nowrozabad
Target entity description: Nowrozabad is a town in the Umaria district of Madhya Pradesh, India, known primarily for its coal mining activities.
  • A. Nowy Targ
    Nowy Targ is a historic town in southern Poland, regarded as the main urban center of the Podhale region and a gateway to the Tatra Mountains.
  • B. Nowe Miasto
    Nowe Miasto is a village and administrative seat of its own gmina in the Masovian Voivodeship of east-central Poland.
  • C. Nowa Sól
    Nowa Sól is a town in western Poland known as an important local industrial and river port center on the Oder River.
  • D. Przemyśl
    Przemyśl is a historic city in southeastern Poland near the Ukrainian border, known for its strategic location, multicultural heritage, and well-preserved fortifications.
  • E. Lutobor
    Lutobor is a figure from Czech legend and literature associated with the mythic narratives surrounding the prophetess Libuše and the early history of Bohemia.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515d138c8190a4c4d112ed5756a3 completed April 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07b4f70bd08190b3df6e94404c23ff completed May 16, 2026, 12:06 a.m.
NEDg Description generation batch_6a07b5c7a0348190b06f5300c89f0548 completed May 16, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_6a07b655722c8190be1b30d1e276c580 completed May 16, 2026, 12:12 a.m.
Created at: April 10, 2026, 1:47 p.m.