Triple

T3596447
Position Surface form Disambiguated ID Type / Status
Subject Kutch E76150 entity
Predicate contains P35 FINISHED
Object Lakhpat
Lakhpat is a historic fortified town in the Kutch district of Gujarat, India, known for its massive walls and once-thriving port on the Arabian Sea.
 E376237 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: Lakhpat | Statement: [Kutch, contains, Lakhpat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lakhpat
Context triple: [Kutch, contains, Lakhpat]
  • A. Randhawa
    Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
  • B. Nagaur
    Nagaur is a historic city in Rajasthan, India, known for its medieval fort, cultural heritage, and role as an important center in the Marwar region.
  • C. Jetpur
    Jetpur is a textile and dyeing hub town in Gujarat, India, known for its cotton saree printing and screen-printing industries.
  • D. Rampur
    Rampur is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • E. Rampur
    Rampur is a prominent city in the Rohilkhand region of Uttar Pradesh, India, known historically for its princely state heritage and distinctive Rampuri culture.
  • 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: Lakhpat
Triple: [Kutch, contains, Lakhpat]
Generated description
Lakhpat is a historic fortified town in the Kutch district of Gujarat, India, known for its massive walls and once-thriving port on the Arabian Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lakhpat
Target entity description: Lakhpat is a historic fortified town in the Kutch district of Gujarat, India, known for its massive walls and once-thriving port on the Arabian Sea.
  • A. Randhawa
    Randhawa is an Indian-origin Punjabi surname notably borne by American politician Nikki Haley.
  • B. Nagaur
    Nagaur is a historic city in Rajasthan, India, known for its medieval fort, cultural heritage, and role as an important center in the Marwar region.
  • C. Jetpur
    Jetpur is a textile and dyeing hub town in Gujarat, India, known for its cotton saree printing and screen-printing industries.
  • D. Rampur
    Rampur is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • E. Rampur
    Rampur is a prominent city in the Rohilkhand region of Uttar Pradesh, India, known historically for its princely state heritage and distinctive Rampuri culture.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19b26bc8190b3cc0613a1a98361 completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44efeacf481908dd9a26f348f9977 completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b453c225b481908cc06090bcd0ed64 completed March 13, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69b45f6aefd081909dfd1740f233dbf3 completed March 13, 2026, 7:03 p.m.
Created at: March 8, 2026, 3:22 p.m.