Triple

T16442917
Position Surface form Disambiguated ID Type / Status
Subject Gedo E399348 entity
Predicate containsCity P294 FINISHED
Object Luuq
Luuq is a historic town in southwestern Somalia known for its strategic location on a bend of the Jubba River and its role as a regional trading center.
 E1212951 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: Luuq | Statement: [Gedo, containsCity, Luuq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Luuq
Context triple: [Gedo, containsCity, Luuq]
  • A. Lokuta
    Lokuta is a small village located in Järva County in central Estonia.
  • B. Leuwiliang
    Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
  • C. Muye
    Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
  • D. Sa’och
    Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
  • E. Guting
    Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
  • 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: Luuq
Triple: [Gedo, containsCity, Luuq]
Generated description
Luuq is a historic town in southwestern Somalia known for its strategic location on a bend of the Jubba River and its role as a regional trading center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Luuq
Target entity description: Luuq is a historic town in southwestern Somalia known for its strategic location on a bend of the Jubba River and its role as a regional trading center.
  • A. Lokuta
    Lokuta is a small village located in Järva County in central Estonia.
  • B. Leuwiliang
    Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
  • C. Muye
    Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
  • D. Sa’och
    Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
  • E. Guting
    Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cd8d2988190acb5722a15623319 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458f8f3c8190ad5eff2ad2a32dea completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a00461390608190848c3b896042f1fd completed May 10, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0046a88e048190baa78506808171b8 completed May 10, 2026, 8:49 a.m.
Created at: April 10, 2026, 5:10 a.m.