Triple

T2749859
Position Surface form Disambiguated ID Type / Status
Subject Bihar E60958 entity
Predicate containsCity P294 FINISHED
Object Samastipur
Samastipur is a city in the Indian state of Bihar known as an important railway junction and agricultural trade center in the region.
E311154 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: Samastipur | Statement: [Bihar, containsCity, Samastipur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samastipur
Context triple: [Bihar, containsCity, Samastipur]
  • A. Neemuch
    Neemuch is a town in northwestern Madhya Pradesh, India, known as an important agricultural and trading center and for hosting a significant military cantonment.
  • 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. Bhagalpur
    Bhagalpur is a historic city in the eastern Indian state of Bihar, known for its silk industry and location along the Ganges River.
  • D. Sitamarhi
    Sitamarhi is a town in the Indian state of Bihar, historically associated with the legend of Sita’s birthplace and serving as an important local commercial and cultural center.
  • E. Sasaram
    Sasaram is a historic town in eastern India known for its grand Mughal-era monuments, especially the tomb of Sher Shah Suri.
  • 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: Samastipur
Triple: [Bihar, containsCity, Samastipur]
Generated description
Samastipur is a city in the Indian state of Bihar known as an important railway junction and agricultural trade center in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samastipur
Target entity description: Samastipur is a city in the Indian state of Bihar known as an important railway junction and agricultural trade center in the region.
  • A. Neemuch
    Neemuch is a town in northwestern Madhya Pradesh, India, known as an important agricultural and trading center and for hosting a significant military cantonment.
  • 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. Bhagalpur
    Bhagalpur is a historic city in the eastern Indian state of Bihar, known for its silk industry and location along the Ganges River.
  • D. Sitamarhi
    Sitamarhi is a town in the Indian state of Bihar, historically associated with the legend of Sita’s birthplace and serving as an important local commercial and cultural center.
  • E. Sasaram
    Sasaram is a historic town in eastern India known for its grand Mughal-era monuments, especially the tomb of Sher Shah Suri.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb52b1d48190b6ab511cc8834a14 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69b08633e4108190a783b29a10efcc76 completed March 10, 2026, 8:59 p.m.
NEDg Description generation batch_69b0cf0fbd0c81909467fa163ec661ba completed March 11, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_69b0d2d300cc8190871d2b89ae3cc9f5 completed March 11, 2026, 2:26 a.m.
Created at: March 6, 2026, 9:56 p.m.