Triple

T15761784
Position Surface form Disambiguated ID Type / Status
Subject Panchmahal district E382116 entity
Predicate hasTown P847 FINISHED
Object Morva (Hadaf)
Morva (Hadaf) is a town in the Indian state of Gujarat, known as an administrative and local commercial center in the Panchmahal region.
 E1175977 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: Morva (Hadaf) | Statement: [Panchmahal district, hasTown, Morva (Hadaf)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morva (Hadaf)
Context triple: [Panchmahal district, hasTown, Morva (Hadaf)]
  • A. Molazzana
    Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • B. Warhad
    Warhad is an old regional name historically used for the area later known as Berar in central India.
  • C. Mirjaveh
    Mirjaveh is a town in southeastern Iran that serves as a key overland transit point and gateway for trade and travel between Iran and Pakistan.
  • D. Мухавец
    Мухавец — река в западной части Беларуси, протекающая через Брест и являющаяся притоком Западного Буга.
  • E. Murmashi
    Murmashi is a rural locality in Russia’s Murmansk Oblast, known primarily for serving as the site of Murmansk Airport.
  • 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: Morva (Hadaf)
Triple: [Panchmahal district, hasTown, Morva (Hadaf)]
Generated description
Morva (Hadaf) is a town in the Indian state of Gujarat, known as an administrative and local commercial center in the Panchmahal region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morva (Hadaf)
Target entity description: Morva (Hadaf) is a town in the Indian state of Gujarat, known as an administrative and local commercial center in the Panchmahal region.
  • A. Molazzana
    Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • B. Warhad
    Warhad is an old regional name historically used for the area later known as Berar in central India.
  • C. Mirjaveh
    Mirjaveh is a town in southeastern Iran that serves as a key overland transit point and gateway for trade and travel between Iran and Pakistan.
  • D. Мухавец
    Мухавец — река в западной части Беларуси, протекающая через Брест и являющаяся притоком Западного Буга.
  • E. Murmashi
    Murmashi is a rural locality in Russia’s Murmansk Oblast, known primarily for serving as the site of Murmansk Airport.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b52c548190a0ffa4493a4eb15c completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff8776c2488190ad27fd79e2ce4e14 completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8b6c44d081908e35ca17b5ce2189 completed May 9, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff8ca1c1f08190aeb6f7421d54c2de completed May 9, 2026, 7:36 p.m.
Created at: April 10, 2026, 4:47 a.m.