Triple

T532172
Position Surface form Disambiguated ID Type / Status
Subject Colony of Aden E12245 entity
Predicate includedArea P1393 FINISHED
Object Maalla
Maalla is a district of the port city of Aden in Yemen, historically significant as part of the former British-controlled Colony of Aden.
 E67431 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: Maalla | Statement: [Colony of Aden, includedArea, Maalla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maalla
Context triple: [Colony of Aden, includedArea, Maalla]
  • A. Maarenga’yam
    Maarenga’yam is the self-designated name of the Serrano people, an Indigenous group native to what is now Southern California.
  • B. Terra da Garoa
    Terra da Garoa is a popular nickname for the Brazilian metropolis of São Paulo, alluding to its characteristic light, misty rain.
  • C. Malaita
    Malaita is one of the main islands of the Solomon Islands in the South Pacific, known for its large population, rich traditional culture, and historical role in regional labor trade.
  • D. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • E. Ommelanden
    Ommelanden is the rural region surrounding the city of Groningen in the northern Netherlands, historically known for its Frisian culture and agricultural landscape.
  • 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: Maalla
Triple: [Colony of Aden, includedArea, Maalla]
Generated description
Maalla is a district of the port city of Aden in Yemen, historically significant as part of the former British-controlled Colony of Aden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maalla
Target entity description: Maalla is a district of the port city of Aden in Yemen, historically significant as part of the former British-controlled Colony of Aden.
  • A. Maarenga’yam
    Maarenga’yam is the self-designated name of the Serrano people, an Indigenous group native to what is now Southern California.
  • B. Terra da Garoa
    Terra da Garoa is a popular nickname for the Brazilian metropolis of São Paulo, alluding to its characteristic light, misty rain.
  • C. Malaita
    Malaita is one of the main islands of the Solomon Islands in the South Pacific, known for its large population, rich traditional culture, and historical role in regional labor trade.
  • D. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • E. Ommelanden
    Ommelanden is the rural region surrounding the city of Groningen in the northern Netherlands, historically known for its Frisian culture and agricultural landscape.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d278cf88190ad1368da91a7014f completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c66d76588190864ac6a992c44545 completed March 1, 2026, 11:06 p.m.
NEDg Description generation batch_69a4c7d8ba3081909ae63cafc11ad6bb completed March 1, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69a4c83437ec8190a8b71e45357b4e32 completed March 1, 2026, 11:13 p.m.
Created at: March 1, 2026, 7:32 p.m.