Triple

T6242372
Position Surface form Disambiguated ID Type / Status
Subject Cairo Metro Line 2 E139634 entity
Predicate hasStation P35 FINISHED
Object Bohooth
Bohooth is a metro station on Cairo Metro Line 2 serving passengers in the Greater Cairo area.
E579797 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: Bohooth | Statement: [Cairo Metro Line 2, hasStation, Bohooth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bohooth
Context triple: [Cairo Metro Line 2, hasStation, Bohooth]
  • A. Bohan
    Bohan is a small village in southern Belgium known for its scenic location along the Semois River near the French border.
  • B. Bohan
    Bohan is a given name that serves as a variant form of the name Bowen.
  • C. Ghogha
    Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
  • D. Bogoso
    Bogoso is a mining town in southwestern Ghana known for its significant gold deposits and related industrial activities.
  • E. Boorga
    Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
  • 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: Bohooth
Triple: [Cairo Metro Line 2, hasStation, Bohooth]
Generated description
Bohooth is a metro station on Cairo Metro Line 2 serving passengers in the Greater Cairo area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bohooth
Target entity description: Bohooth is a metro station on Cairo Metro Line 2 serving passengers in the Greater Cairo area.
  • A. Bohan
    Bohan is a small village in southern Belgium known for its scenic location along the Semois River near the French border.
  • B. Bohan
    Bohan is a given name that serves as a variant form of the name Bowen.
  • C. Ghogha
    Ghogha is a coastal town in Gujarat, India, known as a historic port settlement near Bhavnagar on the Gulf of Khambhat.
  • D. Bogoso
    Bogoso is a mining town in southwestern Ghana known for its significant gold deposits and related industrial activities.
  • E. Boorga
    Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631933488190838b424ec0fc2155 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c24406809c8190a827a52abce88ecc completed March 24, 2026, 7:57 a.m.
NEDg Description generation batch_69c2a6663a4c8190b7fcac132640da50 completed March 24, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_69c2a6bc92948190ae4676d0e6e186fb completed March 24, 2026, 2:59 p.m.
Created at: March 22, 2026, 4:23 p.m.