Triple
T2734603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongolawi |
E60598
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Andaandi
Andaandi is a Nubian language variety spoken primarily in the Dongola region of northern Sudan.
|
E292034
|
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: Andaandi | Statement: [Dongolawi, alternativeName, Andaandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andaandi Context triple: [Dongolawi, alternativeName, Andaandi]
-
A.
Anjana
Anjana is a revered figure in Hindu mythology, best known as the mother of the monkey-god Hanuman and often depicted as a celestial nymph who took birth on earth.
-
B.
Tareeno
Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
-
C.
Aayega Aanewala
"Aayega Aanewala" is a landmark Hindi film song from the 1949 movie Mahal, celebrated for its haunting melody and for bringing playback singer Lata Mangeshkar to national prominence.
-
D.
Kanyadaan
Kanyadaan is a critically acclaimed Marathi play by Vijay Tendulkar that explores caste, idealism, and the complexities of social reform through a turbulent inter-caste marriage.
-
E.
Panihati
Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
- 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: Andaandi Triple: [Dongolawi, alternativeName, Andaandi]
Generated description
Andaandi is a Nubian language variety spoken primarily in the Dongola region of northern Sudan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andaandi Target entity description: Andaandi is a Nubian language variety spoken primarily in the Dongola region of northern Sudan.
-
A.
Anjana
Anjana is a revered figure in Hindu mythology, best known as the mother of the monkey-god Hanuman and often depicted as a celestial nymph who took birth on earth.
-
B.
Tareeno
Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
-
C.
Aayega Aanewala
"Aayega Aanewala" is a landmark Hindi film song from the 1949 movie Mahal, celebrated for its haunting melody and for bringing playback singer Lata Mangeshkar to national prominence.
-
D.
Kanyadaan
Kanyadaan is a critically acclaimed Marathi play by Vijay Tendulkar that explores caste, idealism, and the complexities of social reform through a turbulent inter-caste marriage.
-
E.
Panihati
Panihati is a suburban town in eastern India known as part of the Kolkata metropolitan area in the state of West Bengal.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6a15e548190a118880f9904f9cc |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb78d9f0c8190ad276922aa19945d |
completed | March 10, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb7e8a8548190b5b4e7772e0adcf6 |
completed | March 10, 2026, 6:19 a.m. |
Created at: March 6, 2026, 9:56 p.m.