Triple

T572647
Position Surface form Disambiguated ID Type / Status
Subject Eindhoven E13694 entity
Predicate hasDistrict P459 FINISHED
Object Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
E81451 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: Tongelre | Statement: [Eindhoven, hasDistrict, Tongelre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tongelre
Context triple: [Eindhoven, hasDistrict, Tongelre]
  • A. Yenda
    Yenda is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural production, particularly viticulture and horticulture.
  • B. Naga
    Naga is a city in the Bicol Region of the Philippines known as a major religious, cultural, and commercial center, particularly famed for the annual Peñafrancia Festival.
  • C. Chetlat
    Chetlat is a small inhabited coral island in the Lakshadweep archipelago of India, known for its coconut cultivation, fishing, and surrounding lagoon.
  • D. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • E. Potohari
    Potohari is an Indo-Aryan language variety spoken in the Potohar Plateau region of northern Pakistan, including areas around Islamabad and Rawalpindi.
  • 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: Tongelre
Triple: [Eindhoven, hasDistrict, Tongelre]
Generated description
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tongelre
Target entity description: Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • A. Yenda
    Yenda is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural production, particularly viticulture and horticulture.
  • B. Naga
    Naga is a city in the Bicol Region of the Philippines known as a major religious, cultural, and commercial center, particularly famed for the annual Peñafrancia Festival.
  • C. Chetlat
    Chetlat is a small inhabited coral island in the Lakshadweep archipelago of India, known for its coconut cultivation, fishing, and surrounding lagoon.
  • D. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • E. Potohari
    Potohari is an Indo-Aryan language variety spoken in the Potohar Plateau region of northern Pakistan, including areas around Islamabad and Rawalpindi.
  • 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_69a4933fa4d88190a7949cc83c08c5c1 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49b49bad88190bc73d31a317c0ef4 completed March 1, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58a6d19248190a5a57930153a208f completed March 2, 2026, 1:02 p.m.
NEDg Description generation batch_69a58e46d418819081d943dfdfb9b6e8 completed March 2, 2026, 1:19 p.m.
NED2 Entity disambiguation (via description) batch_69a58ee773308190ad1648bb834096a6 completed March 2, 2026, 1:21 p.m.
Created at: March 1, 2026, 7:33 p.m.