Triple

T17156214
Position Surface form Disambiguated ID Type / Status
Subject Dahod district E416348 entity
Predicate hasTown P847 FINISHED
Object Dhanpur
Dhanpur is a town located in the Dahod district of the Indian state of Gujarat.
E1258153 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: Dhanpur | Statement: [Dahod district, hasTown, Dhanpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhanpur
Context triple: [Dahod district, hasTown, Dhanpur]
  • A. Kishanganj
    Kishanganj is a town and district headquarters in the northeastern part of the Indian state of Bihar, known for its significant Muslim population and proximity to the borders of West Bengal and Nepal.
  • B. Hajipur
    Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
  • C. Chhapra
    Chhapra is a city in the Indian state of Bihar, known as the administrative headquarters of Saran district and a regional commercial and transportation hub along the Ganges River.
  • D. Kashipur
    Kashipur is a town in the Udham Singh Nagar district of Uttarakhand, India, known as an important industrial and commercial center in the region.
  • E. Saharsa
    Saharsa is a city in the northeastern Indian state of Bihar, known as a major agricultural and commercial center in the Kosi river region.
  • 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: Dhanpur
Triple: [Dahod district, hasTown, Dhanpur]
Generated description
Dhanpur is a town located in the Dahod district of the Indian state of Gujarat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dhanpur
Target entity description: Dhanpur is a town located in the Dahod district of the Indian state of Gujarat.
  • A. Kishanganj
    Kishanganj is a town and district headquarters in the northeastern part of the Indian state of Bihar, known for its significant Muslim population and proximity to the borders of West Bengal and Nepal.
  • B. Hajipur
    Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
  • C. Chhapra
    Chhapra is a city in the Indian state of Bihar, known as the administrative headquarters of Saran district and a regional commercial and transportation hub along the Ganges River.
  • D. Kashipur
    Kashipur is a town in the Udham Singh Nagar district of Uttarakhand, India, known as an important industrial and commercial center in the region.
  • E. Saharsa
    Saharsa is a city in the northeastern Indian state of Bihar, known as a major agricultural and commercial center in the Kosi river region.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40b402881908b8c01d7b957d0d2 completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a016743eb688190bdb5d85ed144ca1d completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016b4d4cb881908f196de0d74da327 completed May 11, 2026, 5:38 a.m.
NED2 Entity disambiguation (via description) batch_6a016bdc66b081908c9b391503e7a814 completed May 11, 2026, 5:40 a.m.
Created at: April 10, 2026, 5:37 a.m.