Triple

T27366195
Position Surface form Disambiguated ID Type / Status
Subject Talat Mahmood E690170 entity
Predicate birthPlace P1 FINISHED
Object Lucknow, United Provinces, British India
Lucknow, United Provinces, British India was a major cultural and administrative center of northern colonial India, renowned for its rich traditions in Urdu literature, music, and architecture.
 E1769228 NE FINISHED

How this triple was built (2 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: Lucknow, United Provinces, British India | Statement: [Talat Mahmood, birthPlace, Lucknow, United Provinces, British India]
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: Lucknow, United Provinces, British India
Triple: [Talat Mahmood, birthPlace, Lucknow, United Provinces, British India]
Generated description
Lucknow, United Provinces, British India was a major cultural and administrative center of northern colonial India, renowned for its rich traditions in Urdu literature, music, and architecture.

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_69ef51ff826081909e42c8e2bfb97941 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62c5ccd048190b6fa467a3034aa51 completed May 2, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12a7df10e881908b0b2309f4ef1acc completed May 24, 2026, 7:25 a.m.
NEDg Description generation batch_6a12a8b8ec608190846c55dabeec801a completed May 24, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_6a12a951f04881909419d5b9d41d5c79 completed May 24, 2026, 7:31 a.m.
Created at: April 27, 2026, 12:17 p.m.