Triple
T12850955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Nile State |
E307314
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Shendi
Shendi is a historic city in northern Sudan known as a regional commercial center and gateway to nearby ancient Nubian archaeological sites.
|
E1006781
|
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: Shendi | Statement: [River Nile State, hasMajorCity, Shendi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shendi Context triple: [River Nile State, hasMajorCity, Shendi]
-
A.
Amedi
Amedi is an ancient hilltop town in the Kurdistan Region of Iraq, known for its strategic location, historical significance, and scenic views over the surrounding valleys.
-
B.
Arrifes
Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
-
C.
Tarhuna
Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
-
D.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
E.
Berbera
Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
- 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: Shendi Triple: [River Nile State, hasMajorCity, Shendi]
Generated description
Shendi is a historic city in northern Sudan known as a regional commercial center and gateway to nearby ancient Nubian archaeological sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shendi Target entity description: Shendi is a historic city in northern Sudan known as a regional commercial center and gateway to nearby ancient Nubian archaeological sites.
-
A.
Amedi
Amedi is an ancient hilltop town in the Kurdistan Region of Iraq, known for its strategic location, historical significance, and scenic views over the surrounding valleys.
-
B.
Arrifes
Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
-
C.
Tarhuna
Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
-
D.
Martos
Martos is a historic town in southern Spain’s Andalusia region, known for its olive oil production and hilltop setting dominated by a medieval castle.
-
E.
Berbera
Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
- 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.