Triple
T9269462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sayanci |
E222785
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Sayanche
Sayanche is an alternative name for Sayanci, a language spoken by the Sayawa people of northern Nigeria.
|
E788821
|
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: Sayanche | Statement: [Sayanci, hasAlternativeName, Sayanche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sayanche Context triple: [Sayanci, hasAlternativeName, Sayanche]
-
A.
Sancar
Sancar is the surname of Aziz Sancar, a Turkish-American biochemist and molecular biologist renowned for his Nobel Prize–winning work on DNA repair.
-
B.
Salcha
Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
-
C.
Bastida
Bastida is a Spanish surname notably borne by the renowned painter Joaquín Sorolla y Bastida.
-
D.
Cahitan
Cahitan is a branch of the Uto-Aztecan language family that includes closely related indigenous languages once spoken in northwestern Mexico, notably by the Yaqui and Mayo peoples.
-
E.
Sanhe
Sanhe is a county-level city in northern China’s Hebei province, administered by the prefecture-level city of Langfang near the Beijing–Tianjin 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: Sayanche Triple: [Sayanci, hasAlternativeName, Sayanche]
Generated description
Sayanche is an alternative name for Sayanci, a language spoken by the Sayawa people of northern Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sayanche Target entity description: Sayanche is an alternative name for Sayanci, a language spoken by the Sayawa people of northern Nigeria.
-
A.
Sancar
Sancar is the surname of Aziz Sancar, a Turkish-American biochemist and molecular biologist renowned for his Nobel Prize–winning work on DNA repair.
-
B.
Salcha
Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
-
C.
Bastida
Bastida is a Spanish surname notably borne by the renowned painter Joaquín Sorolla y Bastida.
-
D.
Cahitan
Cahitan is a branch of the Uto-Aztecan language family that includes closely related indigenous languages once spoken in northwestern Mexico, notably by the Yaqui and Mayo peoples.
-
E.
Sanhe
Sanhe is a county-level city in northern China’s Hebei province, administered by the prefecture-level city of Langfang near the Beijing–Tianjin 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd074ef7408190b213c09491918132 |
completed | April 1, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c2239a08190b954c8c57ced8fd2 |
completed | April 4, 2026, 5:05 a.m. |
| NEDg | Description generation | batch_69d09cf11e488190b61f4a61002454e6 |
completed | April 4, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09e2450048190b5aa31507e54d6c8 |
completed | April 4, 2026, 5:14 a.m. |
Created at: March 30, 2026, 7:33 p.m.