Triple
T5511080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akbarabadi Mahal |
E144565
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Mahal
Mahal is a royal title historically used in the Mughal Empire to denote a queen or high-ranking consort in the imperial harem.
|
E529909
|
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: Mahal | Statement: [Akbarabadi Mahal, title, Mahal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahal Context triple: [Akbarabadi Mahal, title, Mahal]
-
A.
Mahala
Mahala is the given first name of Mahalia Jackson, the legendary American gospel singer known as the “Queen of Gospel.”
-
B.
Luisita
Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
-
C.
Makili
Makili is a small coastal settlement on Atauro Island in East Timor, known for its traditional fishing community and proximity to rich marine biodiversity.
-
D.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
-
E.
Daang Matuwid
Daang Matuwid is the reform-focused governance platform and anti-corruption banner associated with the presidency of Benigno S. Aquino III in the Philippines.
- 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: Mahal Triple: [Akbarabadi Mahal, title, Mahal]
Generated description
Mahal is a royal title historically used in the Mughal Empire to denote a queen or high-ranking consort in the imperial harem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mahal Target entity description: Mahal is a royal title historically used in the Mughal Empire to denote a queen or high-ranking consort in the imperial harem.
-
A.
Mahala
Mahala is the given first name of Mahalia Jackson, the legendary American gospel singer known as the “Queen of Gospel.”
-
B.
Luisita
Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
-
C.
Makili
Makili is a small coastal settlement on Atauro Island in East Timor, known for its traditional fishing community and proximity to rich marine biodiversity.
-
D.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
-
E.
Daang Matuwid
Daang Matuwid is the reform-focused governance platform and anti-corruption banner associated with the presidency of Benigno S. Aquino III in the Philippines.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f4cbc2c819091fcbff5f39ceeb4 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027cd14748190bd48d350cfe63603 |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c03cd1650c8190b4673c479e151cf3 |
completed | March 22, 2026, 7:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03d6839dc8190ae05e661c4844211 |
completed | March 22, 2026, 7:05 p.m. |
Created at: March 22, 2026, 3:33 p.m.