Triple

T15716258
Position Surface form Disambiguated ID Type / Status
Subject Romanos I Lekapenos E380967 entity
Predicate placeOfBirth P1 FINISHED
Object Lakape
Lakape was a settlement in the Byzantine Empire known as the birthplace of Emperor Romanos I Lekapenos.
E1172712 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: Lakape | Statement: [Romanos I Lekapenos, placeOfBirth, Lakape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lakape
Context triple: [Romanos I Lekapenos, placeOfBirth, Lakape]
  • A. Lapai
    Lapai is a town and local government area in Niger State, Nigeria, known as an educational hub due to the presence of Ibrahim Badamasi Babangida University.
  • B. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • C. Lalakay
    Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • D. Laukahi
    Laukahi is a town located in the Madhubani district of the Indian state of Bihar.
  • E. Lakamadi
    Lakamadi is a regional dialect of the Moru language spoken by Moru communities in South Sudan.
  • 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: Lakape
Triple: [Romanos I Lekapenos, placeOfBirth, Lakape]
Generated description
Lakape was a settlement in the Byzantine Empire known as the birthplace of Emperor Romanos I Lekapenos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lakape
Target entity description: Lakape was a settlement in the Byzantine Empire known as the birthplace of Emperor Romanos I Lekapenos.
  • A. Lapai
    Lapai is a town and local government area in Niger State, Nigeria, known as an educational hub due to the presence of Ibrahim Badamasi Babangida University.
  • B. Lakalai
    Lakalai is an Oceanic language spoken by an indigenous community in Papua New Guinea.
  • C. Lalakay
    Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
  • D. Laukahi
    Laukahi is a town located in the Madhubani district of the Indian state of Bihar.
  • E. Lakamadi
    Lakamadi is a regional dialect of the Moru language spoken by Moru communities in South Sudan.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f91beb08190bd91bf9306737c3b completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7583609c8190a80421fce649900f completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff76deb1948190bc49825719ac97d5 completed May 9, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff77642ba4819095c1acc65da06135 completed May 9, 2026, 6:05 p.m.
Created at: April 10, 2026, 4:45 a.m.