Triple

T4516793
Position Surface form Disambiguated ID Type / Status
Subject Fatima Meer E102171 entity
Predicate familyName P18 FINISHED
Object Meer
Meer is a surname of South Asian origin borne by numerous individuals, including notable figures in politics, academia, and the arts.
 E449050 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: Meer | Statement: [Fatima Meer, familyName, Meer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Meer
Context triple: [Fatima Meer, familyName, Meer]
  • A. Veerse Meer
    Veerse Meer is a coastal lagoon and recreational lake in the Dutch province of Zeeland, popular for water sports and nature conservation.
  • B. Hollands Diep
    Hollands Diep is a broad estuarine river and former sea arm in the southwestern Netherlands that forms part of the Rhine–Meuse–Scheldt delta system.
  • C. Meeri
    Meeri is the inner fortification complex located within Pakistan’s historic Ranikot Fort, often noted for its distinct defensive walls and gateways.
  • D. Baie des Veys
    Baie des Veys is a coastal bay in Normandy, France, known for its tidal flats, wetlands, and rich birdlife at the confluence of several rivers flowing into the English Channel.
  • E. Bahri
    Bahri is the commonly used Arabic name for Khartoum North, a major city forming part of Sudan’s capital metropolitan area.
  • 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: Meer
Triple: [Fatima Meer, familyName, Meer]
Generated description
Meer is a surname of South Asian origin borne by numerous individuals, including notable figures in politics, academia, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Meer
Target entity description: Meer is a surname of South Asian origin borne by numerous individuals, including notable figures in politics, academia, and the arts.
  • A. Veerse Meer
    Veerse Meer is a coastal lagoon and recreational lake in the Dutch province of Zeeland, popular for water sports and nature conservation.
  • B. Hollands Diep
    Hollands Diep is a broad estuarine river and former sea arm in the southwestern Netherlands that forms part of the Rhine–Meuse–Scheldt delta system.
  • C. Meeri
    Meeri is the inner fortification complex located within Pakistan’s historic Ranikot Fort, often noted for its distinct defensive walls and gateways.
  • D. Baie des Veys
    Baie des Veys is a coastal bay in Normandy, France, known for its tidal flats, wetlands, and rich birdlife at the confluence of several rivers flowing into the English Channel.
  • E. Bahri
    Bahri is the commonly used Arabic name for Khartoum North, a major city forming part of Sudan’s capital metropolitan area.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5726983c8190bca116eeee54241c completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd7f93a6808190bc1290232998184c completed March 20, 2026, 5:10 p.m.
NEDg Description generation batch_69bd9df55108819095f727f112cb41cf completed March 20, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_69bd9eab6c60819088407768561d3715 completed March 20, 2026, 7:23 p.m.
Created at: March 20, 2026, 1:02 p.m.