Triple

T20611553
Position Surface form Disambiguated ID Type / Status
Subject Najeeb E506459 entity
Predicate hasFemaleForm P17779 FINISHED
Object Najeeba
Najeeba is an Arabic female given name, typically meaning "noble," "distinguished," or "of high character."
 E1440535 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: Najeeba | Statement: [Najeeb, hasFemaleForm, Najeeba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Najeeba
Context triple: [Najeeb, hasFemaleForm, Najeeba]
  • A. Bilqas
    Bilqas is a town in Egypt located within the Dakahlia Governorate in the Nile Delta region.
  • B. Naseem
    Naseem is an Indian art-house film directed by Saeed Akhtar Mirza that poignantly portrays the rising communal tensions in Bombay leading up to the Babri Masjid demolition.
  • C. Naseem
    Naseem is the given name of Naseem Hamed, the British former professional boxer famed for his flamboyant style and knockout power.
  • D. Khairahani
    Khairahani is a notable town in Nepal’s Chitwan District, recognized as a growing local center for agriculture, trade, and community life in the region.
  • E. Nabaneeta
    Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
  • 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: Najeeba
Triple: [Najeeb, hasFemaleForm, Najeeba]
Generated description
Najeeba is an Arabic female given name, typically meaning "noble," "distinguished," or "of high character."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Najeeba
Target entity description: Najeeba is an Arabic female given name, typically meaning "noble," "distinguished," or "of high character."
  • A. Bilqas
    Bilqas is a town in Egypt located within the Dakahlia Governorate in the Nile Delta region.
  • B. Naseem
    Naseem is an Indian art-house film directed by Saeed Akhtar Mirza that poignantly portrays the rising communal tensions in Bombay leading up to the Babri Masjid demolition.
  • C. Naseem
    Naseem is the given name of Naseem Hamed, the British former professional boxer famed for his flamboyant style and knockout power.
  • D. Khairahani
    Khairahani is a notable town in Nepal’s Chitwan District, recognized as a growing local center for agriculture, trade, and community life in the region.
  • E. Nabaneeta
    Nabaneeta is a feminine given name most notably borne by the acclaimed Indian Bengali writer and academic Nabaneeta Dev Sen.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad81bdc8190aa6f6164f406a468 completed April 20, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb0eddac8190bfcd11ff358937f4 completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bb6fcfd08190946b0ed54a90e6b2 completed May 16, 2026, 6:46 p.m.
NED2 Entity disambiguation (via description) batch_6a08bbe309f4819092fc1c95b91562c1 completed May 16, 2026, 6:48 p.m.
Created at: April 16, 2026, 11:41 a.m.