Triple

T17072597
Position Surface form Disambiguated ID Type / Status
Subject Kendrapara district E414259 entity
Predicate contains P35 FINISHED
Object Pattamundai
Pattamundai is a town in the Kendrapara district of Odisha, India, known as a local commercial and administrative center in the coastal region.
 E1249501 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: Pattamundai | Statement: [Kendrapara district, contains, Pattamundai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pattamundai
Context triple: [Kendrapara district, contains, Pattamundai]
  • A. Ponnur
    Ponnur is a town in the Indian state of Andhra Pradesh, known for its agricultural surroundings and local temples.
  • B. Palamoor
    Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
  • C. Poondi
    Poondi is a small village in Tamil Nadu, India, known primarily as a base point for treks and pilgrimages to the nearby Vellingiri Hills.
  • D. Mannargudi
    Mannargudi is a historic temple town in Tamil Nadu, India, renowned for its grand Rajagopalaswamy Temple and rich Chola-era heritage.
  • E. Narmadapuram
    Narmadapuram is a city in the central Indian state of Madhya Pradesh, situated on the banks of the Narmada River and serving as an important regional administrative and cultural center.
  • 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: Pattamundai
Triple: [Kendrapara district, contains, Pattamundai]
Generated description
Pattamundai is a town in the Kendrapara district of Odisha, India, known as a local commercial and administrative center in the coastal region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pattamundai
Target entity description: Pattamundai is a town in the Kendrapara district of Odisha, India, known as a local commercial and administrative center in the coastal region.
  • A. Ponnur
    Ponnur is a town in the Indian state of Andhra Pradesh, known for its agricultural surroundings and local temples.
  • B. Palamoor
    Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
  • C. Poondi
    Poondi is a small village in Tamil Nadu, India, known primarily as a base point for treks and pilgrimages to the nearby Vellingiri Hills.
  • D. Mannargudi
    Mannargudi is a historic temple town in Tamil Nadu, India, renowned for its grand Rajagopalaswamy Temple and rich Chola-era heritage.
  • E. Narmadapuram
    Narmadapuram is a city in the central Indian state of Madhya Pradesh, situated on the banks of the Narmada River and serving as an important regional administrative and cultural center.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc28fec81909c39d432094d9cdd completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012edbce988190a784448ba8a258a5 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012fe2a1b081909483baef845cc2c1 completed May 11, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0130c2ad9881909d8a8b64ebb59aa6 completed May 11, 2026, 1:28 a.m.
Created at: April 10, 2026, 5:34 a.m.