Triple

T6756709
Position Surface form Disambiguated ID Type / Status
Subject Marowijne District E154478 entity
Predicate hasTown P847 FINISHED
Object Moengo
Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
 E619281 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: Moengo | Statement: [Marowijne District, hasTown, Moengo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moengo
Context triple: [Marowijne District, hasTown, Moengo]
  • A. Mikongo
    Mikongo is a small settlement in central Gabon that serves as a key access point for visitors exploring Lope National Park.
  • B. Monywa
    Monywa is a significant commercial and transport hub in central Myanmar, known for its trade, agriculture, and nearby Buddhist sites.
  • C. Mungaka
    Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
  • D. Mokuola
    Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
  • E. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • 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: Moengo
Triple: [Marowijne District, hasTown, Moengo]
Generated description
Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moengo
Target entity description: Moengo is a town in eastern Suriname known historically as a major bauxite mining center.
  • A. Mikongo
    Mikongo is a small settlement in central Gabon that serves as a key access point for visitors exploring Lope National Park.
  • B. Monywa
    Monywa is a significant commercial and transport hub in central Myanmar, known for its trade, agriculture, and nearby Buddhist sites.
  • C. Mungaka
    Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
  • D. Mokuola
    Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
  • E. Mokena
    Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f76c9c81908c213772a54f1352 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a78feb8819084314c2ae043d289 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71b6b87d8819085e6ae122f042626 completed March 28, 2026, 12:06 a.m.
NED2 Entity disambiguation (via description) batch_69c71c00f86c819099ef6ae0766e9f3a completed March 28, 2026, 12:08 a.m.
Created at: March 27, 2026, 2:11 p.m.