Triple
T6262138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Rahat |
E140324
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Rahat
Rahat is the Hindi name for Operation Rahat, the Indian Air Force–led evacuation mission conducted during the 2015 Yemen crisis.
|
E580990
|
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: Rahat | Statement: [Operation Rahat, hasNameInLanguage, Rahat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rahat Context triple: [Operation Rahat, hasNameInLanguage, Rahat]
-
A.
Mahmood
Mahmood is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures and often spelled in multiple variants such as Mahmoud or Mahmud.
-
B.
Madali Khan
Madali Khan was a 19th-century ruler of the Kokand Khanate in Central Asia, known for his efforts to strengthen the state amid regional rivalries and Russian expansion.
-
C.
Latifa
Latifa is a young, imaginative girl character who serves as one of the official mascots of Expo 2020 Dubai, symbolizing innovation, curiosity, and the spirit of the event.
-
D.
Izhar
Izhar is a biblical figure from the Hebrew Bible, known as a Levite and the father of Korah.
-
E.
Badshah
Badshah is an imperial title historically used by Mughal emperors and other Muslim sovereigns in South Asia to denote supreme rulership.
- 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: Rahat Triple: [Operation Rahat, hasNameInLanguage, Rahat]
Generated description
Rahat is the Hindi name for Operation Rahat, the Indian Air Force–led evacuation mission conducted during the 2015 Yemen crisis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rahat Target entity description: Rahat is the Hindi name for Operation Rahat, the Indian Air Force–led evacuation mission conducted during the 2015 Yemen crisis.
-
A.
Mahmood
Mahmood is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures and often spelled in multiple variants such as Mahmoud or Mahmud.
-
B.
Madali Khan
Madali Khan was a 19th-century ruler of the Kokand Khanate in Central Asia, known for his efforts to strengthen the state amid regional rivalries and Russian expansion.
-
C.
Latifa
Latifa is a young, imaginative girl character who serves as one of the official mascots of Expo 2020 Dubai, symbolizing innovation, curiosity, and the spirit of the event.
-
D.
Izhar
Izhar is a biblical figure from the Hebrew Bible, known as a Levite and the father of Korah.
-
E.
Badshah
Badshah is an imperial title historically used by Mughal emperors and other Muslim sovereigns in South Asia to denote supreme rulership.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06386a7b48190b032edd12078c5bc |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2444a71b081908b7686034ce7e01b |
completed | March 24, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_69c2a5f01b0081908d056633942ef732 |
completed | March 24, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fb898c5c8190a1ded1fe8ab2bc10 |
completed | March 26, 2026, 9:25 a.m. |
Created at: March 22, 2026, 4:25 p.m.