Triple
T3662920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faizi |
E77691
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Nal o Daman
Nal o Daman is a celebrated Persian masnavi (narrative poem) by the Mughal court poet Faizi, renowned for its romantic and allegorical storytelling.
|
E377848
|
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: Nal o Daman | Statement: [Faizi, notableWork, Nal o Daman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nal o Daman Context triple: [Faizi, notableWork, Nal o Daman]
-
A.
Chomana Dudi
Chomana Dudi is a renowned Kannada novel by Shivarama Karanth that portrays the struggles of an oppressed Dalit farmer against social and economic injustices.
-
B.
Ranchipur
Ranchipur is the fictional Indian princely city that serves as the central backdrop for Louis Bromfield’s novel and its film adaptation "The Rains Came."
-
C.
Andaandi
Andaandi is a Nubian language variety spoken primarily in the Dongola region of northern Sudan.
-
D.
Amar Vilas
Amar Vilas is a luxurious, elevated courtyard and garden terrace within Udaipur’s City Palace complex, known for its ornate architecture, fountains, and panoramic views of Lake Pichola.
-
E.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
- 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: Nal o Daman Triple: [Faizi, notableWork, Nal o Daman]
Generated description
Nal o Daman is a celebrated Persian masnavi (narrative poem) by the Mughal court poet Faizi, renowned for its romantic and allegorical storytelling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nal o Daman Target entity description: Nal o Daman is a celebrated Persian masnavi (narrative poem) by the Mughal court poet Faizi, renowned for its romantic and allegorical storytelling.
-
A.
Chomana Dudi
Chomana Dudi is a renowned Kannada novel by Shivarama Karanth that portrays the struggles of an oppressed Dalit farmer against social and economic injustices.
-
B.
Ranchipur
Ranchipur is the fictional Indian princely city that serves as the central backdrop for Louis Bromfield’s novel and its film adaptation "The Rains Came."
-
C.
Andaandi
Andaandi is a Nubian language variety spoken primarily in the Dongola region of northern Sudan.
-
D.
Amar Vilas
Amar Vilas is a luxurious, elevated courtyard and garden terrace within Udaipur’s City Palace complex, known for its ornate architecture, fountains, and panoramic views of Lake Pichola.
-
E.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3fcd910819082012b10b23860aa |
completed | March 8, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48846af9881909d71d63b8bd8d141 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b4898cae348190871b63b8aabef963 |
completed | March 13, 2026, 10:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4af2032188190b29939d5dc19ccd1 |
completed | March 14, 2026, 12:43 a.m. |
Created at: March 8, 2026, 3:25 p.m.