Triple
T13111832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gezira State |
E310990
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Managil
Managil is a town in Sudan’s Gezira State, known primarily as an agricultural center within the Gezira irrigation scheme.
|
E1023124
|
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: Managil | Statement: [Gezira State, hasSettlement, Managil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Managil Context triple: [Gezira State, hasSettlement, Managil]
-
A.
Manghit
Manghit was a Central Asian tribal group that rose to prominence as the ruling clan of the Manghit (Bukhara) dynasty.
-
B.
Mahinog
Mahinog is a coastal municipality on Camiguin Island in the Philippines known for its rural communities and access to nearby islets and marine attractions.
-
C.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
-
D.
Mangilao
Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
-
E.
Matiltan
Matiltan is a scenic valley and tourist spot near Kalam in Pakistan’s Swat region, known for its lush landscapes, rivers, and views of surrounding mountains.
- 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: Managil Triple: [Gezira State, hasSettlement, Managil]
Generated description
Managil is a town in Sudan’s Gezira State, known primarily as an agricultural center within the Gezira irrigation scheme.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Managil Target entity description: Managil is a town in Sudan’s Gezira State, known primarily as an agricultural center within the Gezira irrigation scheme.
-
A.
Manghit
Manghit was a Central Asian tribal group that rose to prominence as the ruling clan of the Manghit (Bukhara) dynasty.
-
B.
Mahinog
Mahinog is a coastal municipality on Camiguin Island in the Philippines known for its rural communities and access to nearby islets and marine attractions.
-
C.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
-
D.
Mangilao
Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
-
E.
Matiltan
Matiltan is a scenic valley and tourist spot near Kalam in Pakistan’s Swat region, known for its lush landscapes, rivers, and views of surrounding mountains.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817e4f408190b77c198b4157d77a |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27d8110819087ade3537f867ae0 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e4c5e2888190b0bfcdf2cc25ad5f |
completed | May 3, 2026, 6:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e5979df881909db42a735b9b1064 |
completed | May 3, 2026, 6:05 a.m. |
Created at: April 9, 2026, 9:05 p.m.