Triple

T5809094
Position Surface form Disambiguated ID Type / Status
Subject Bhavnagar district E128821 entity
Predicate hasTown P847 FINISHED
Object Sihor
Sihor is a historic town in Gujarat, India, known for its temples, metalwork, and proximity to the city of Bhavnagar.
 E547961 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: Sihor | Statement: [Bhavnagar district, hasTown, Sihor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sihor
Context triple: [Bhavnagar district, hasTown, Sihor]
  • A. Shahdara
    Shahdara is a densely populated residential and commercial locality in East Delhi, India, known as one of the city’s oldest suburbs and a key transport hub.
  • B. Tharwa
    Tharwa is a small rural village in the Australian Capital Territory, located south of Canberra near the Murrumbidgee River.
  • C. Halisahar
    Halisahar is a town in the North 24 Parganas district of the Indian state of West Bengal, situated along the Hooghly River and forming part of the Kolkata metropolitan area.
  • D. Noor
    Noor is the American-born widow of King Hussein who served as Queen consort of Jordan and became known for her humanitarian and peace-building work.
  • E. Nahr-i-Bihisht
    Nahr-i-Bihisht is an ornamental water channel and garden feature within the Red Fort in Delhi, designed to evoke a paradisiacal river through its flowing water and elegant Mughal architecture.
  • 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: Sihor
Triple: [Bhavnagar district, hasTown, Sihor]
Generated description
Sihor is a historic town in Gujarat, India, known for its temples, metalwork, and proximity to the city of Bhavnagar.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sihor
Target entity description: Sihor is a historic town in Gujarat, India, known for its temples, metalwork, and proximity to the city of Bhavnagar.
  • A. Shahdara
    Shahdara is a densely populated residential and commercial locality in East Delhi, India, known as one of the city’s oldest suburbs and a key transport hub.
  • B. Tharwa
    Tharwa is a small rural village in the Australian Capital Territory, located south of Canberra near the Murrumbidgee River.
  • C. Halisahar
    Halisahar is a town in the North 24 Parganas district of the Indian state of West Bengal, situated along the Hooghly River and forming part of the Kolkata metropolitan area.
  • D. Noor
    Noor is the American-born widow of King Hussein who served as Queen consort of Jordan and became known for her humanitarian and peace-building work.
  • E. Nahr-i-Bihisht
    Nahr-i-Bihisht is an ornamental water channel and garden feature within the Red Fort in Delhi, designed to evoke a paradisiacal river through its flowing water and elegant Mughal architecture.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b1867a481909a7ea3331dbb04ce completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c098416504819089356b68fabdf737 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c098f465cc819088241200306bd273 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c099770ca88190a91815ec055f6df8 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:52 p.m.