Triple
T20845652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kairouan Governorate |
E513217
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Chebika
Chebika is an oasis village in central Tunisia known for its dramatic desert landscapes, mountain gorges, and traditional Berber architecture.
|
E1453397
|
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: Chebika | Statement: [Kairouan Governorate, hasMajorCity, Chebika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chebika Context triple: [Kairouan Governorate, hasMajorCity, Chebika]
-
A.
Chirchiq
Chirchiq is an industrial city in eastern Uzbekistan known for its chemical plants and hydroelectric power facilities along the Chirchiq River.
-
B.
Chakvi
Chakvi is a small resort town on Georgia’s Black Sea coast, known for its subtropical climate, tea plantations, and proximity to Mtirala National Park.
-
C.
Chakesar
Chakesar is a town and administrative center in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain and agricultural surroundings.
-
D.
Yablanitsa
Yablanitsa is a small town in northern Bulgaria known for its traditional confectionery and location along the Hemus motorway.
-
E.
Koroba
"Koroba" is a popular Afrobeats song by Nigerian singer Tiwa Savage, known for its catchy rhythm and socially conscious lyrics.
- 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: Chebika Triple: [Kairouan Governorate, hasMajorCity, Chebika]
Generated description
Chebika is an oasis village in central Tunisia known for its dramatic desert landscapes, mountain gorges, and traditional Berber architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chebika Target entity description: Chebika is an oasis village in central Tunisia known for its dramatic desert landscapes, mountain gorges, and traditional Berber architecture.
-
A.
Chirchiq
Chirchiq is an industrial city in eastern Uzbekistan known for its chemical plants and hydroelectric power facilities along the Chirchiq River.
-
B.
Chakvi
Chakvi is a small resort town on Georgia’s Black Sea coast, known for its subtropical climate, tea plantations, and proximity to Mtirala National Park.
-
C.
Chakesar
Chakesar is a town and administrative center in Pakistan’s Khyber Pakhtunkhwa province, known for its mountainous terrain and agricultural surroundings.
-
D.
Yablanitsa
Yablanitsa is a small town in northern Bulgaria known for its traditional confectionery and location along the Hemus motorway.
-
E.
Koroba
"Koroba" is a popular Afrobeats song by Nigerian singer Tiwa Savage, known for its catchy rhythm and socially conscious lyrics.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34ec254819082610264c7af20c8 |
completed | April 21, 2026, 12:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a090b03b5588190a98681307f32946f |
completed | May 17, 2026, 12:25 a.m. |
| NEDg | Description generation | batch_6a090b872f58819087803faf1293f1b7 |
completed | May 17, 2026, 12:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a090c57aef48190978b5fe94dd4feab |
completed | May 17, 2026, 12:31 a.m. |
Created at: April 16, 2026, 12:43 p.m.