Triple

T21245463
Position Surface form Disambiguated ID Type / Status
Subject Sabarkantha district E523594 entity
Predicate containsTown P847 FINISHED
Object Modasa
Modasa is a town in the Indian state of Gujarat known as a regional commercial and educational center.
 E639757 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: Modasa | Statement: [Sabarkantha district, containsTown, Modasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Modasa
Context triple: [Sabarkantha district, containsTown, Modasa]
  • A. Modasa
    Modasa is a town in the Indian state of Gujarat that serves as the administrative headquarters of Aravalli district.
  • B. Mauganj
    Mauganj is a legislative assembly constituency in the Indian state of Madhya Pradesh.
  • C. Kawardha
    Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
  • D. Marw
    Marw (Merv) was an important ancient city in Khorasan, serving as a major political, military, and cultural center in early Islamic and pre-Islamic Central Asia.
  • E. Argaum
    Argaum is a village in Maharashtra, India, historically notable as the site of a major battle during the Second Anglo-Maratha War.
  • 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: Modasa
Triple: [Sabarkantha district, containsTown, Modasa]
Generated description
Modasa is a town in the Indian state of Gujarat known as a regional commercial and educational center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Modasa
Target entity description: Modasa is a town in the Indian state of Gujarat known as a regional commercial and educational center.
  • A. Modasa chosen
    Modasa is a town in the Indian state of Gujarat that serves as the administrative headquarters of Aravalli district.
  • B. Mauganj
    Mauganj is a legislative assembly constituency in the Indian state of Madhya Pradesh.
  • C. Kawardha
    Kawardha is a regional dialect of the Chhattisgarhi language spoken in parts of the Indian state of Chhattisgarh.
  • D. Marw
    Marw (Merv) was an important ancient city in Khorasan, serving as a major political, military, and cultural center in early Islamic and pre-Islamic Central Asia.
  • E. Argaum
    Argaum is a village in Maharashtra, India, historically notable as the site of a major battle during the Second Anglo-Maratha War.
  • F. None of above.

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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73599e5548190ad70d2c2bfa9e919 completed April 21, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986f705808190ba3a85d2dacb8818 completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a0988086a648190856057c1327a6ab1 completed May 17, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0988d4ada081909fe532955b204b94 completed May 17, 2026, 9:22 a.m.
Created at: April 16, 2026, 3:47 p.m.