Triple
T15651713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikwerre Local Government Area |
E376327
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Omerelu
Omerelu is a town in Rivers State, Nigeria, situated within the Ikwerre Local Government Area and inhabited predominantly by Ikwerre-speaking people.
|
E1169452
|
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: Omerelu | Statement: [Ikwerre Local Government Area, hasSettlement, Omerelu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omerelu Context triple: [Ikwerre Local Government Area, hasSettlement, Omerelu]
-
A.
Omaar
Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
-
B.
Aomar
Aomar is a town and commune located within Bouira Province in northern Algeria.
-
C.
Melsisi
Melsisi is a coastal village and mission station on Pentecost Island in Vanuatu, known for its Catholic mission, school, and local health services.
-
D.
Merkheuli
Merkheuli is a village in Abkhazia, Georgia, historically notable as the birthplace of Soviet security chief Lavrentiy Beria.
-
E.
Dyula
Dyula is a Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
- 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: Omerelu Triple: [Ikwerre Local Government Area, hasSettlement, Omerelu]
Generated description
Omerelu is a town in Rivers State, Nigeria, situated within the Ikwerre Local Government Area and inhabited predominantly by Ikwerre-speaking people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Omerelu Target entity description: Omerelu is a town in Rivers State, Nigeria, situated within the Ikwerre Local Government Area and inhabited predominantly by Ikwerre-speaking people.
-
A.
Omaar
Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
-
B.
Aomar
Aomar is a town and commune located within Bouira Province in northern Algeria.
-
C.
Melsisi
Melsisi is a coastal village and mission station on Pentecost Island in Vanuatu, known for its Catholic mission, school, and local health services.
-
D.
Merkheuli
Merkheuli is a village in Abkhazia, Georgia, historically notable as the birthplace of Soviet security chief Lavrentiy Beria.
-
E.
Dyula
Dyula is a Mande language widely used as a trade and lingua franca in parts of West Africa, particularly in Burkina Faso, Côte d’Ivoire, and Mali.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eeed2d48190a7a8a618d90012d0 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6797954c8190ac05ee3db634efa7 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff68481ff881909c23ae20bd3a9ff8 |
completed | May 9, 2026, 5 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6911a76c819088c8a86d2106b6c6 |
completed | May 9, 2026, 5:04 p.m. |
Created at: April 10, 2026, 4:15 a.m.