Triple
T4122929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Red Sea Region |
E92655
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Nakfa
Nakfa is a historically significant town in Eritrea known for its role in the independence struggle and for lending its name to the country’s national currency.
|
E416300
|
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: Nakfa | Statement: [Northern Red Sea Region, containsCity, Nakfa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nakfa Context triple: [Northern Red Sea Region, containsCity, Nakfa]
-
A.
Rahanweyn
Rahanweyn is a major dialect (often considered a distinct variety) of the Somali language spoken primarily by the Rahanweyn clan families in southern Somalia.
-
B.
Rahan
Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
-
C.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
D.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
-
E.
Tin-Essako
Tin-Essako is a remote commune and village in northeastern Mali, situated in the desert expanses of the Kidal Region near the Algerian border.
- 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: Nakfa Triple: [Northern Red Sea Region, containsCity, Nakfa]
Generated description
Nakfa is a historically significant town in Eritrea known for its role in the independence struggle and for lending its name to the country’s national currency.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nakfa Target entity description: Nakfa is a historically significant town in Eritrea known for its role in the independence struggle and for lending its name to the country’s national currency.
-
A.
Rahanweyn
Rahanweyn is a major dialect (often considered a distinct variety) of the Somali language spoken primarily by the Rahanweyn clan families in southern Somalia.
-
B.
Rahan
Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
-
C.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
D.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
-
E.
Tin-Essako
Tin-Essako is a remote commune and village in northeastern Mali, situated in the desert expanses of the Kidal Region near the Algerian border.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af020728a08190a50a16b40690cbce |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576b405548190affdd8bb108995b1 |
completed | March 14, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69b577653214819093396a8601e52245 |
completed | March 14, 2026, 2:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b57b90cb308190ba102f999795829c |
completed | March 14, 2026, 3:15 p.m. |
Created at: March 9, 2026, 3:41 p.m.