Triple

T9370415
Position Surface form Disambiguated ID Type / Status
Subject Yavatmal district E225515 entity
Predicate hasTown P847 FINISHED
Object Ner
Ner is a town located in the Yavatmal district of Maharashtra, India, known primarily as a local agricultural and trading center.
E794828 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: Ner | Statement: [Yavatmal district, hasTown, Ner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ner
Context triple: [Yavatmal district, hasTown, Ner]
  • A. Ner
    Ner is a biblical figure mentioned in the Hebrew Bible, known primarily as the grandfather of King Saul and a member of the tribe of Benjamin.
  • B. Nin
    Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
  • C. Nel
    Nel is a diminutive form of the given name Cornelia, commonly used as a short or affectionate version of the name.
  • D. Neste
    Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
  • E. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • 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: Ner
Triple: [Yavatmal district, hasTown, Ner]
Generated description
Ner is a town located in the Yavatmal district of Maharashtra, India, known primarily as a local agricultural and trading center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ner
Target entity description: Ner is a town located in the Yavatmal district of Maharashtra, India, known primarily as a local agricultural and trading center.
  • A. Ner
    Ner is a biblical figure mentioned in the Hebrew Bible, known primarily as the grandfather of King Saul and a member of the tribe of Benjamin.
  • B. Nin
    Nin is a historic coastal town in Croatia known for its ancient salt pans, sandy beaches, and archaeological heritage dating back to Roman and early Croatian times.
  • C. Nel
    Nel is a diminutive form of the given name Cornelia, commonly used as a short or affectionate version of the name.
  • D. Neste
    Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
  • E. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • 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_69ca842cbddc819099d71ecec48cf9e5 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd508274d88190a64b79ab731ac6a1 completed April 1, 2026, 5:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f411bb2c819091b67c70956c546b completed April 4, 2026, 11:20 a.m.
NEDg Description generation batch_69d0f5e382d88190bfb61c8e3a6cd646 completed April 4, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_69d0f6544b008190b220687c5e9abac3 completed April 4, 2026, 11:30 a.m.
Created at: March 30, 2026, 7:43 p.m.