Triple
T12851005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Kordofan State |
E307315
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
En Nahud
En Nahud is a town in central Sudan known as an important commercial and transport hub within North Kordofan.
|
E1006782
|
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: En Nahud | Statement: [North Kordofan State, hasCity, En Nahud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: En Nahud Context triple: [North Kordofan State, hasCity, En Nahud]
-
A.
Nesher
Nesher is an industrial town in northern Israel located on the slopes of Mount Carmel, known historically for its cement factory and proximity to Haifa.
-
B.
Hadariba
Hadariba are an ethnic group of the Horn of Africa closely associated with the Beni-Amir people, sharing regional, cultural, and historical ties.
-
C.
Khamûl
Khamûl is one of the chief Ringwraiths in J.R.R. Tolkien’s legendarium, second in power only to the Witch-king of Angmar.
-
D.
Wakrat
Wakrat is an American punk-influenced rock band known for its politically charged themes and featuring Rage Against the Machine bassist Tim Commerford.
-
E.
Zarruq
Zarruq is the honorific title of Ahmad Zarruq, a renowned 15th-century Moroccan Sufi scholar, jurist, and reformer known for integrating Islamic law and Sufism.
- 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: En Nahud Triple: [North Kordofan State, hasCity, En Nahud]
Generated description
En Nahud is a town in central Sudan known as an important commercial and transport hub within North Kordofan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: En Nahud Target entity description: En Nahud is a town in central Sudan known as an important commercial and transport hub within North Kordofan.
-
A.
Nesher
Nesher is an industrial town in northern Israel located on the slopes of Mount Carmel, known historically for its cement factory and proximity to Haifa.
-
B.
Hadariba
Hadariba are an ethnic group of the Horn of Africa closely associated with the Beni-Amir people, sharing regional, cultural, and historical ties.
-
C.
Khamûl
Khamûl is one of the chief Ringwraiths in J.R.R. Tolkien’s legendarium, second in power only to the Witch-king of Angmar.
-
D.
Wakrat
Wakrat is an American punk-influenced rock band known for its politically charged themes and featuring Rage Against the Machine bassist Tim Commerford.
-
E.
Zarruq
Zarruq is the honorific title of Ahmad Zarruq, a renowned 15th-century Moroccan Sufi scholar, jurist, and reformer known for integrating Islamic law and Sufism.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97020eacc81909357b3398d17dc49 |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba5059c81908be3b8b371518f41 |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69d48e6948190a13afe3b8943d877 |
completed | May 3, 2026, 12:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69dfa2b8481908827025a28bfb056 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 9, 2026, 5:36 p.m.