Triple

T11580248
Position Surface form Disambiguated ID Type / Status
Subject Oyo Mesi E274606 entity
Predicate hasMember P10 FINISHED
Object Lagunna
Lagunna is a titled chief within the Oyo Mesi, the council of kingmakers and principal nobles in the traditional Oyo Yoruba political system.
 E934665 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: Lagunna | Statement: [Oyo Mesi, hasMember, Lagunna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lagunna
Context triple: [Oyo Mesi, hasMember, Lagunna]
  • A. Lagoona
    Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
  • B. Lagada
    Lagada is a small traditional village on the Greek island of Amorgos, known for its whitewashed houses, hillside setting, and views over the Aegean Sea.
  • C. El Laguito
    El Laguito is a coastal neighborhood and lagoon area in Cartagena, Colombia, known for its beaches, hotels, and proximity to the upscale Bocagrande district.
  • D. Labuha
    Labuha is a coastal town that serves as an important local center on the Indonesian island of Halmahera.
  • E. Laka
    Laka is a dialect of the Sara language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • 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: Lagunna
Triple: [Oyo Mesi, hasMember, Lagunna]
Generated description
Lagunna is a titled chief within the Oyo Mesi, the council of kingmakers and principal nobles in the traditional Oyo Yoruba political system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lagunna
Target entity description: Lagunna is a titled chief within the Oyo Mesi, the council of kingmakers and principal nobles in the traditional Oyo Yoruba political system.
  • A. Lagoona
    Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
  • B. Lagada
    Lagada is a small traditional village on the Greek island of Amorgos, known for its whitewashed houses, hillside setting, and views over the Aegean Sea.
  • C. El Laguito
    El Laguito is a coastal neighborhood and lagoon area in Cartagena, Colombia, known for its beaches, hotels, and proximity to the upscale Bocagrande district.
  • D. Labuha
    Labuha is a coastal town that serves as an important local center on the Indonesian island of Halmahera.
  • E. Laka
    Laka is a dialect of the Sara language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904c51b881909e7be84c6f3de79f completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7141b16d8819099002a009260a85a completed April 21, 2026, 6:07 a.m.
NEDg Description generation batch_69e720f9a8588190aa766d2e1628207a completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e72315dda08190996aa84587c5fc80 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.