Triple

T14171858
Position Surface form Disambiguated ID Type / Status
Subject Kalabari people E351226 entity
Predicate hasSettlement P1068 FINISHED
Object Tombia
Tombia is a town associated with the Kalabari people, an Ijaw ethnic group in Nigeria’s Niger Delta region.
 E1085606 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: Tombia | Statement: [Kalabari people, hasSettlement, Tombia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tombia
Context triple: [Kalabari people, hasSettlement, Tombia]
  • A. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • B. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • C. Terrasini
    Terrasini is a coastal town in the Metropolitan City of Palermo in Sicily, Italy, known for its beaches, fishing traditions, and proximity to Palermo’s airport.
  • D. Delebio
    Delebio is a municipality in the Province of Sondrio in the Lombardy region of northern Italy, situated in the Valtellina area near Lake Como.
  • E. Tibarg
    Tibarg is the central shopping and main thoroughfare of the Hamburg district Niendorf, known for its retail stores and local amenities.
  • 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: Tombia
Triple: [Kalabari people, hasSettlement, Tombia]
Generated description
Tombia is a town associated with the Kalabari people, an Ijaw ethnic group in Nigeria’s Niger Delta region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tombia
Target entity description: Tombia is a town associated with the Kalabari people, an Ijaw ethnic group in Nigeria’s Niger Delta region.
  • A. Martos
    Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
  • B. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • C. Terrasini
    Terrasini is a coastal town in the Metropolitan City of Palermo in Sicily, Italy, known for its beaches, fishing traditions, and proximity to Palermo’s airport.
  • D. Delebio
    Delebio is a municipality in the Province of Sondrio in the Lombardy region of northern Italy, situated in the Valtellina area near Lake Como.
  • E. Tibarg
    Tibarg is the central shopping and main thoroughfare of the Hamburg district Niendorf, known for its retail stores and local amenities.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193f85e88190b37a37747ec9d019 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1d12b2dc819086308e5c17c34c65 completed May 7, 2026, 11:15 p.m.
NED2 Entity disambiguation (via description) batch_69fd1d7b21c081909f74b3a050a93faf completed May 7, 2026, 11:17 p.m.
Created at: April 10, 2026, 1:01 a.m.