Triple
T14153660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sine |
E350753
|
entity |
| Predicate | rulerTitle |
P593
|
FINISHED |
| Object |
Maad a Sinig
Maad a Sinig was the royal title borne by the kings of the precolonial Serer Kingdom of Sine in what is now Senegal.
|
E1084440
|
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: Maad a Sinig | Statement: [Sine, rulerTitle, Maad a Sinig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maad a Sinig Context triple: [Sine, rulerTitle, Maad a Sinig]
-
A.
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.
-
B.
Mahal
Mahal is a royal title historically used in the Mughal Empire to denote a queen or high-ranking consort in the imperial harem.
-
C.
Mahal
Mahal is a landmark 1949 Indian Hindi-language psychological horror film, celebrated for pioneering the Bollywood gothic romance genre and launching Madhubala to stardom.
-
D.
Mahal
Mahal is a historic neighborhood in Nagpur, India, known as one of the city’s oldest and most culturally significant localities.
-
E.
Maay Maay
Maay Maay is a Cushitic language spoken primarily by the Maay-speaking Somali communities in southern Somalia and neighboring regions.
- 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: Maad a Sinig Triple: [Sine, rulerTitle, Maad a Sinig]
Generated description
Maad a Sinig was the royal title borne by the kings of the precolonial Serer Kingdom of Sine in what is now Senegal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maad a Sinig Target entity description: Maad a Sinig was the royal title borne by the kings of the precolonial Serer Kingdom of Sine in what is now Senegal.
-
A.
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.
-
B.
Mahal
Mahal is a royal title historically used in the Mughal Empire to denote a queen or high-ranking consort in the imperial harem.
-
C.
Mahal
Mahal is a landmark 1949 Indian Hindi-language psychological horror film, celebrated for pioneering the Bollywood gothic romance genre and launching Madhubala to stardom.
-
D.
Mahal
Mahal is a historic neighborhood in Nagpur, India, known as one of the city’s oldest and most culturally significant localities.
-
E.
Maay Maay
Maay Maay is a Cushitic language spoken primarily by the Maay-speaking Somali communities in southern Somalia and neighboring regions.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6133754881908e1e97db71772deb |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ea34408190830263d7f5a88ce9 |
completed | May 7, 2026, 8:36 p.m. |
| NEDg | Description generation | batch_69fd067e73708190adcb4e1c2fbf210d |
completed | May 7, 2026, 9:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd0c5161dc8190a923c5b00dc5b53a |
completed | May 7, 2026, 10:04 p.m. |
Created at: April 10, 2026, 12:57 a.m.