Triple
T4122898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saho |
E92654
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Saho-Afar
Saho-Afar is an alternative name for the Saho language spoken primarily in Eritrea and neighboring regions.
|
E416297
|
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: Saho-Afar | Statement: [Saho, hasAlternativeName, Saho-Afar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saho-Afar Context triple: [Saho, hasAlternativeName, Saho-Afar]
-
A.
Takrur
Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
-
B.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
-
C.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
D.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
E.
Afgooye
Afgooye is a town in southern Somalia located near Mogadishu, known historically as an agricultural and trading center along the Shabelle River.
- 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: Saho-Afar Triple: [Saho, hasAlternativeName, Saho-Afar]
Generated description
Saho-Afar is an alternative name for the Saho language spoken primarily in Eritrea and neighboring regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saho-Afar Target entity description: Saho-Afar is an alternative name for the Saho language spoken primarily in Eritrea and neighboring regions.
-
A.
Takrur
Takrur was an early West African kingdom located in the Senegal River valley, known for its role in trans-Saharan trade and its early adoption of Islam.
-
B.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
-
C.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
D.
Buhera
Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
-
E.
Afgooye
Afgooye is a town in southern Somalia located near Mogadishu, known historically as an agricultural and trading center along the Shabelle River.
- 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.