Triple
T6922429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaneshaʼ language |
E160219
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Yanešaʼ
Yanešaʼ is an Arawakan language spoken by the Yanesha people of the central Peruvian Amazon.
|
E628576
|
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: Yanešaʼ | Statement: [Yaneshaʼ language, alternativeName, Yanešaʼ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yanešaʼ Context triple: [Yaneshaʼ language, alternativeName, Yanešaʼ]
-
A.
Oreshak
Oreshak is a village in central Bulgaria known for its proximity to the historic Troyan Monastery and its traditional crafts and cultural heritage.
-
B.
Balka
Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
-
C.
Yunak
Yunak is a rural district and town in Turkey known for its agricultural economy and location within the Central Anatolia region.
-
D.
Vishkanya
Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
-
E.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
- 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: Yanešaʼ Triple: [Yaneshaʼ language, alternativeName, Yanešaʼ]
Generated description
Yanešaʼ is an Arawakan language spoken by the Yanesha people of the central Peruvian Amazon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yanešaʼ Target entity description: Yanešaʼ is an Arawakan language spoken by the Yanesha people of the central Peruvian Amazon.
-
A.
Oreshak
Oreshak is a village in central Bulgaria known for its proximity to the historic Troyan Monastery and its traditional crafts and cultural heritage.
-
B.
Balka
Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
-
C.
Yunak
Yunak is a rural district and town in Turkey known for its agricultural economy and location within the Central Anatolia region.
-
D.
Vishkanya
Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
-
E.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
- 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_69c6884d350081908d8a970e4d40ad78 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9fd159c819092a69d1a24e22dd5 |
completed | March 27, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75137dd848190b35ff72725f886ba |
completed | March 28, 2026, 3:55 a.m. |
| NEDg | Description generation | batch_69c751ebf4f48190bb206dd9c1d8bc7b |
completed | March 28, 2026, 3:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c75264e65081908859551feaf1006c |
completed | March 28, 2026, 4 a.m. |
Created at: March 27, 2026, 2:26 p.m.