Triple
T13510869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakhtiari tribe |
E321134
|
entity |
| Predicate | musicInstrument |
P24000
|
FINISHED |
| Object |
sorna
The sorna is a traditional Iranian double-reed woodwind instrument, similar to an oboe, widely used in folk and ceremonial music, including that of the Bakhtiari people.
|
E1044044
|
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: sorna | Statement: [Bakhtiari tribe, musicInstrument, sorna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: sorna Context triple: [Bakhtiari tribe, musicInstrument, sorna]
-
A.
saron
The saron is a key metallophone instrument in Javanese and Balinese gamelan ensembles, featuring bronze bars struck with a mallet to produce the core melodic line.
-
B.
saronen
Saronen is a traditional wind instrument central to the folk music of the Madurese people of Indonesia.
-
C.
Sõru
Sõru is a small port village on the southern coast of Hiiumaa Island in Estonia, known for its ferry connection to the mainland and maritime setting.
-
D.
Sorya
Sorya is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
-
E.
Surnadal
Surnadal is a municipality and village area in western Norway known for its valley landscape, agriculture, and outdoor recreation.
- 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: sorna Triple: [Bakhtiari tribe, musicInstrument, sorna]
Generated description
The sorna is a traditional Iranian double-reed woodwind instrument, similar to an oboe, widely used in folk and ceremonial music, including that of the Bakhtiari people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: sorna Target entity description: The sorna is a traditional Iranian double-reed woodwind instrument, similar to an oboe, widely used in folk and ceremonial music, including that of the Bakhtiari people.
-
A.
saron
The saron is a key metallophone instrument in Javanese and Balinese gamelan ensembles, featuring bronze bars struck with a mallet to produce the core melodic line.
-
B.
saronen
Saronen is a traditional wind instrument central to the folk music of the Madurese people of Indonesia.
-
C.
Sõru
Sõru is a small port village on the southern coast of Hiiumaa Island in Estonia, known for its ferry connection to the mainland and maritime setting.
-
D.
Sorya
Sorya is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
-
E.
Surnadal
Surnadal is a municipality and village area in western Norway known for its valley landscape, agriculture, and outdoor recreation.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75490291c8190b5985d8c90ef1af6 |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f7556329648190be791afdd197b08c |
completed | May 3, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f755c52c648190a4912725ce65ff04 |
completed | May 3, 2026, 2:03 p.m. |
Created at: April 9, 2026, 9:43 p.m.