Triple

T24471941
Position Surface form Disambiguated ID Type / Status
Subject Saptari District E617122 entity
Predicate hasMunicipality P847 FINISHED
Object Tirhut Rural Municipality
Tirhut Rural Municipality is a local government unit in Nepal’s Madhesh Province, responsible for administering rural communities and development activities within Saptari District.
E1636670 NE FINISHED

How this triple was built (2 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: Tirhut Rural Municipality | Statement: [Saptari District, hasMunicipality, Tirhut Rural Municipality]
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: Tirhut Rural Municipality
Triple: [Saptari District, hasMunicipality, Tirhut Rural Municipality]
Generated description
Tirhut Rural Municipality is a local government unit in Nepal’s Madhesh Province, responsible for administering rural communities and development activities within Saptari District.

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_69e2d7f197588190889a03e620558059 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f29943e9cc81909f1742c778bf3587 completed April 29, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe39439b88190ae6a6164f01584e8 completed May 22, 2026, 5:03 a.m.
NEDg Description generation batch_6a0fe47cbaf881909fbc9d3f0d2e99c1 completed May 22, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe523e5648190bde36809c67adb54 completed May 22, 2026, 5:09 a.m.
Created at: April 18, 2026, 2:20 a.m.