Triple
T10464452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jepilpilin ke Ejukaan |
E246754
|
entity |
| Predicate | hasWord |
P35
|
FINISHED |
| Object |
Ejukaan
Ejukaan is a Marshallese word that forms part of the name "Jepilpilin ke Ejukaan," a famous Marshallese motto meaning "accomplishment through joint effort."
|
E866210
|
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: Ejukaan | Statement: [Jepilpilin ke Ejukaan, hasWord, Ejukaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ejukaan Context triple: [Jepilpilin ke Ejukaan, hasWord, Ejukaan]
-
A.
Ekwulobia
Ekwulobia is a prominent commercial town and one of the major urban centers in southeastern Nigeria.
-
B.
Ieke
Ieke is a given name most notably borne by Dutch mathematician and logician Ieke Moerdijk.
-
C.
Ijigayehu
Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
-
D.
Njuká
Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
-
E.
Ejigbo
Ejigbo is a prominent town and local government area in southwestern Nigeria, known for its Yoruba cultural heritage and role as a commercial and agricultural center.
- 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: Ejukaan Triple: [Jepilpilin ke Ejukaan, hasWord, Ejukaan]
Generated description
Ejukaan is a Marshallese word that forms part of the name "Jepilpilin ke Ejukaan," a famous Marshallese motto meaning "accomplishment through joint effort."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ejukaan Target entity description: Ejukaan is a Marshallese word that forms part of the name "Jepilpilin ke Ejukaan," a famous Marshallese motto meaning "accomplishment through joint effort."
-
A.
Ekwulobia
Ekwulobia is a prominent commercial town and one of the major urban centers in southeastern Nigeria.
-
B.
Ieke
Ieke is a given name most notably borne by Dutch mathematician and logician Ieke Moerdijk.
-
C.
Ijigayehu
Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
-
D.
Njuká
Njuká is an alternative name for the Ndyuka language, a creole spoken primarily by the Ndyuka Maroon community in Suriname and French Guiana.
-
E.
Ejigbo
Ejigbo is a prominent town and local government area in southwestern Nigeria, known for its Yoruba cultural heritage and role as a commercial and agricultural center.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50886c2a8819086da6c08356ec6bf |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fd865688190b0b5708481f397f4 |
completed | April 10, 2026, 6:59 a.m. |
| NEDg | Description generation | batch_69d8a43ae8a48190b1c05b6a91dfed9a |
completed | April 10, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8b8fe1b9c8190b5a4787797ad7120 |
completed | April 10, 2026, 8:46 a.m. |
Created at: April 6, 2026, 12:19 p.m.