Triple

T10228640
Position Surface form Disambiguated ID Type / Status
Subject Lautém Municipality E243282 entity
Predicate contains P35 FINISHED
Object Iliomar
Iliomar is an administrative post and coastal settlement in eastern Timor-Leste, known for its rural communities and location within Lautém Municipality.
 E851163 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: Iliomar | Statement: [Lautém Municipality, contains, Iliomar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iliomar
Context triple: [Lautém Municipality, contains, Iliomar]
  • A. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • B. Gelimar
    Gelimar was the last king of the Vandal Kingdom in North Africa, known for his defeat by the Byzantine general Belisarius in the 6th century.
  • C. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • D. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • E. Dumarao
    Dumarao is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its predominantly agricultural economy and rural communities.
  • 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: Iliomar
Triple: [Lautém Municipality, contains, Iliomar]
Generated description
Iliomar is an administrative post and coastal settlement in eastern Timor-Leste, known for its rural communities and location within Lautém Municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iliomar
Target entity description: Iliomar is an administrative post and coastal settlement in eastern Timor-Leste, known for its rural communities and location within Lautém Municipality.
  • A. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • B. Gelimar
    Gelimar was the last king of the Vandal Kingdom in North Africa, known for his defeat by the Byzantine general Belisarius in the 6th century.
  • C. Marcali
    Marcali is a small town in southwestern Hungary known for its agricultural surroundings and role as a local administrative and service center in Somogy County.
  • D. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • E. Dumarao
    Dumarao is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its predominantly agricultural economy and rural communities.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1fb93688190a9abcbebd9fede6c completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f72bc5388190a8337aa6a60ed51f completed April 9, 2026, 12:47 a.m.
NEDg Description generation batch_69d6fa2bb2ec8190aa099988a6c225eb completed April 9, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd10dbc08190a297073e1b737566 completed April 9, 2026, 1:12 a.m.
Created at: April 6, 2026, 11:18 a.m.