Triple
T12512150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal University of Technology Owerri |
E299104
|
entity |
| Predicate | hasPrimaryCampus |
P115
|
FINISHED |
| Object |
Ihiagwa
Ihiagwa is a town in Imo State, southeastern Nigeria, known for hosting the main campus of the Federal University of Technology Owerri.
|
E987855
|
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: Ihiagwa | Statement: [Federal University of Technology Owerri, hasPrimaryCampus, Ihiagwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ihiagwa Context triple: [Federal University of Technology Owerri, hasPrimaryCampus, Ihiagwa]
-
A.
Ijigayehu
Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
-
B.
Isheagu
Isheagu is a town in Delta State, Nigeria, located within the Aniocha South Local Government Area.
-
C.
Egingwah
Egingwah was an Inuit hunter and guide who played a crucial role in early 20th-century Arctic exploration, including expeditions toward the North Pole.
-
D.
Ihi
Ihi is an ancient Egyptian child god linked to music and joy, often depicted playing the sistrum and associated with the goddess Hathor.
-
E.
Igunga
Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
- 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: Ihiagwa Triple: [Federal University of Technology Owerri, hasPrimaryCampus, Ihiagwa]
Generated description
Ihiagwa is a town in Imo State, southeastern Nigeria, known for hosting the main campus of the Federal University of Technology Owerri.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ihiagwa Target entity description: Ihiagwa is a town in Imo State, southeastern Nigeria, known for hosting the main campus of the Federal University of Technology Owerri.
-
A.
Ijigayehu
Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
-
B.
Isheagu
Isheagu is a town in Delta State, Nigeria, located within the Aniocha South Local Government Area.
-
C.
Egingwah
Egingwah was an Inuit hunter and guide who played a crucial role in early 20th-century Arctic exploration, including expeditions toward the North Pole.
-
D.
Ihi
Ihi is an ancient Egyptian child god linked to music and joy, often depicted playing the sistrum and associated with the goddess Hathor.
-
E.
Igunga
Igunga is a town and district in central Tanzania known for its agricultural activities, particularly cotton and livestock farming, within the Tabora Region.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541d6e508190a4992f328e077467 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbba5fc819082a4171a5a77183a |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64d15a97c81909046190f0d0fd986 |
completed | May 2, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64e6d311c8190b851b89e394165d0 |
completed | May 2, 2026, 7:20 p.m. |
Created at: April 8, 2026, 9:57 p.m.