Triple

T2727003
Position Surface form Disambiguated ID Type / Status
Subject Edo State E60217 entity
Predicate hasMajorTown P316 FINISHED
Object Sabongida-Ora
Sabongida-Ora is a major town in southwestern Nigeria known as one of the key urban centers of Edo State.
 E292505 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: Sabongida-Ora | Statement: [Edo State, hasMajorTown, Sabongida-Ora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sabongida-Ora
Context triple: [Edo State, hasMajorTown, Sabongida-Ora]
  • A. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • B. Surulere
    Surulere is a bustling residential and commercial district on Lagos Mainland in Nigeria, known for its vibrant markets, entertainment scene, and dense urban neighborhoods.
  • C. Ogwumike
    Ogwumike is a Nigerian surname most prominently associated with a family of professional basketball players, including WNBA star Nneka Ogwumike.
  • D. Oworonshoki
    Oworonshoki is a densely populated waterfront suburb in Lagos, Nigeria, located on the mainland along the Lagos Lagoon.
  • E. Sanga Bari
    Sanga Bari is one of the historic city gates of Harar Jugol, the fortified old town of Harar in eastern Ethiopia.
  • 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: Sabongida-Ora
Triple: [Edo State, hasMajorTown, Sabongida-Ora]
Generated description
Sabongida-Ora is a major town in southwestern Nigeria known as one of the key urban centers of Edo State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sabongida-Ora
Target entity description: Sabongida-Ora is a major town in southwestern Nigeria known as one of the key urban centers of Edo State.
  • A. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo people.
  • B. Surulere
    Surulere is a bustling residential and commercial district on Lagos Mainland in Nigeria, known for its vibrant markets, entertainment scene, and dense urban neighborhoods.
  • C. Ogwumike
    Ogwumike is a Nigerian surname most prominently associated with a family of professional basketball players, including WNBA star Nneka Ogwumike.
  • D. Oworonshoki
    Oworonshoki is a densely populated waterfront suburb in Lagos, Nigeria, located on the mainland along the Lagos Lagoon.
  • E. Sanga Bari
    Sanga Bari is one of the historic city gates of Harar Jugol, the fortified old town of Harar in eastern Ethiopia.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdace9f308190964a064859612cd6 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb6982974819089d0ef4a59cc4085 completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb7166d788190ac219fe3c3e164fe completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb7acf3588190813bde4428dfe5f4 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:56 p.m.