Triple

T2892867
Position Surface form Disambiguated ID Type / Status
Subject Izmir Metropolitan Municipality E63867 entity
Predicate hasPart P35 FINISHED
Object İZULAŞ
İZULAŞ is a public transportation company operating bus services under the İzmir Metropolitan Municipality in Turkey.
 E307601 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: İZULAŞ | Statement: [Izmir Metropolitan Municipality, hasPart, İZULAŞ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: İZULAŞ
Context triple: [Izmir Metropolitan Municipality, hasPart, İZULAŞ]
  • A. Uspantek
    Uspantek is a Mayan language spoken by the Uspanteko people in the highlands of Guatemala.
  • B. UNASUL
    UNASUL is a regional intergovernmental organization that promotes political, economic, and social integration among South American countries.
  • C. UZ
    UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
  • D. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • E. ZUEL
    ZUEL is a prominent Chinese university specializing in economics, law, and related social sciences, located in Wuhan, Hubei Province.
  • 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: İZULAŞ
Triple: [Izmir Metropolitan Municipality, hasPart, İZULAŞ]
Generated description
İZULAŞ is a public transportation company operating bus services under the İzmir Metropolitan Municipality in Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: İZULAŞ
Target entity description: İZULAŞ is a public transportation company operating bus services under the İzmir Metropolitan Municipality in Turkey.
  • A. Uspantek
    Uspantek is a Mayan language spoken by the Uspanteko people in the highlands of Guatemala.
  • B. UNASUL
    UNASUL is a regional intergovernmental organization that promotes political, economic, and social integration among South American countries.
  • C. UZ
    UZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Uzbekistan.
  • D. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • E. ZUEL
    ZUEL is a prominent Chinese university specializing in economics, law, and related social sciences, located in Wuhan, Hubei Province.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe062234c81909411e34db7d2683d completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0317e15248190bade0f0fd930581a completed March 10, 2026, 2:58 p.m.
NEDg Description generation batch_69b034b304f8819096eda16e314912b4 completed March 10, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69b03c60a5988190b015a1cf05068845 completed March 10, 2026, 3:44 p.m.
Created at: March 6, 2026, 10:07 p.m.