Triple

T7282140
Position Surface form Disambiguated ID Type / Status
Subject Cim Bom E163174 entity
Predicate alsoKnownAs P39 FINISHED
Object Cimbom
Cimbom is a popular nickname for the Turkish football club Galatasaray S.K., widely used by its fans and in Turkish sports culture.
 E654189 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: Cimbom | Statement: [Cim Bom, alsoKnownAs, Cimbom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cimbom
Context triple: [Cim Bom, alsoKnownAs, Cimbom]
  • A. Cembo
    Cembo is a residential and commercial barangay in Makati City, Philippines, known for its dense urban community and proximity to major business districts.
  • B. Bubaque
    Bubaque is the main town and administrative center of the Bijagós Archipelago in Guinea-Bissau, known for its role as a gateway to the surrounding islands.
  • C. Rumbia
    Rumbia is a town in Indonesia’s Southeast Sulawesi province that serves as a local administrative and population center.
  • D. Cenabum
    Cenabum was an important ancient Gallic city and trading center of the Carnutes, located on the Loire River where the modern French city of Orléans now stands.
  • E. Simberi
    Simberi is an Oceanic language spoken on Simberi Island in the Tabar Island group of Papua New Guinea.
  • 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: Cimbom
Triple: [Cim Bom, alsoKnownAs, Cimbom]
Generated description
Cimbom is a popular nickname for the Turkish football club Galatasaray S.K., widely used by its fans and in Turkish sports culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cimbom
Target entity description: Cimbom is a popular nickname for the Turkish football club Galatasaray S.K., widely used by its fans and in Turkish sports culture.
  • A. Cembo
    Cembo is a residential and commercial barangay in Makati City, Philippines, known for its dense urban community and proximity to major business districts.
  • B. Bubaque
    Bubaque is the main town and administrative center of the Bijagós Archipelago in Guinea-Bissau, known for its role as a gateway to the surrounding islands.
  • C. Rumbia
    Rumbia is a town in Indonesia’s Southeast Sulawesi province that serves as a local administrative and population center.
  • D. Cenabum
    Cenabum was an important ancient Gallic city and trading center of the Carnutes, located on the Loire River where the modern French city of Orléans now stands.
  • E. Simberi
    Simberi is an Oceanic language spoken on Simberi Island in the Tabar Island group of Papua New Guinea.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb4d3e3c8190a05cb5af5f52bd75 completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db3ae6a08190820c7096cbfea521 completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7dbe3e2ac8190a112ff01244f6a81 completed March 28, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_69c7dfc15d2c8190afcf8572ff3dbb6d completed March 28, 2026, 2:03 p.m.
Created at: March 27, 2026, 2:59 p.m.