Triple

T19168434
Position Surface form Disambiguated ID Type / Status
Subject Balaghat district E469247 entity
Predicate hasMajorTown P316 FINISHED
Object Tirodi
Tirodi is a town in the Balaghat district of Madhya Pradesh, India, known primarily as a local commercial and administrative center for surrounding rural areas.
 E1360981 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: Tirodi | Statement: [Balaghat district, hasMajorTown, Tirodi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tirodi
Context triple: [Balaghat district, hasMajorTown, Tirodi]
  • A. Tirico
    Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
  • B. Tiosa
    Tiosa is a town in the Amravati district of Maharashtra, India, known for its role as a local commercial and administrative center.
  • C. Tigheci
    Tigheci is a village located in the Leova District of Moldova.
  • D. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • E. Trisaia
    Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
  • 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: Tirodi
Triple: [Balaghat district, hasMajorTown, Tirodi]
Generated description
Tirodi is a town in the Balaghat district of Madhya Pradesh, India, known primarily as a local commercial and administrative center for surrounding rural areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tirodi
Target entity description: Tirodi is a town in the Balaghat district of Madhya Pradesh, India, known primarily as a local commercial and administrative center for surrounding rural areas.
  • A. Tirico
    Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
  • B. Tiosa
    Tiosa is a town in the Amravati district of Maharashtra, India, known for its role as a local commercial and administrative center.
  • C. Tigheci
    Tigheci is a village located in the Leova District of Moldova.
  • D. Tayshet
    Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
  • E. Trisaia
    Trisaia is an ENEA research center site in southern Italy known for its activities in energy, environmental, and nuclear technology research.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f16132e081908c6b8d576163316e completed April 20, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f2639f188190aa87c1b31b5dcb7b completed May 15, 2026, 10:16 a.m.
NEDg Description generation batch_6a06f338f504819081daeef10e629afd completed May 15, 2026, 10:19 a.m.
NED2 Entity disambiguation (via description) batch_6a06f41c7c508190bf54e751ea0dfb7a completed May 15, 2026, 10:23 a.m.
Created at: April 10, 2026, 12:06 p.m.