Triple
T19016684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jendouba Governorate |
E465368
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Fernana
Fernana is a town in northwestern Tunisia located within the Jendouba Governorate.
|
E1359216
|
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: Fernana | Statement: [Jendouba Governorate, hasTown, Fernana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fernana Context triple: [Jendouba Governorate, hasTown, Fernana]
-
A.
Dender
The Dender is a river in Belgium that flows through Wallonia and Flanders before joining the Scheldt near the city of Dendermonde.
-
B.
Merowe
Merowe is a town in northern Sudan situated along the Nile River, known for its proximity to the Fourth Cataract and nearby archaeological and dam sites.
-
C.
Belshunu
Belshunu was a Persian official who served as satrap (governor) of Babylonia during the Achaemenid Empire.
-
D.
Dansili
Dansili was a top-class British Thoroughbred racehorse who became an elite international sire, known for producing numerous Group 1 winners on turf.
-
E.
Gharsana
Gharsana is a town in the arid northwestern region of Rajasthan, India, known for its agriculture supported by canal irrigation and its proximity to the India–Pakistan border.
- 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: Fernana Triple: [Jendouba Governorate, hasTown, Fernana]
Generated description
Fernana is a town in northwestern Tunisia located within the Jendouba Governorate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fernana Target entity description: Fernana is a town in northwestern Tunisia located within the Jendouba Governorate.
-
A.
Dender
The Dender is a river in Belgium that flows through Wallonia and Flanders before joining the Scheldt near the city of Dendermonde.
-
B.
Merowe
Merowe is a town in northern Sudan situated along the Nile River, known for its proximity to the Fourth Cataract and nearby archaeological and dam sites.
-
C.
Belshunu
Belshunu was a Persian official who served as satrap (governor) of Babylonia during the Achaemenid Empire.
-
D.
Dansili
Dansili was a top-class British Thoroughbred racehorse who became an elite international sire, known for producing numerous Group 1 winners on turf.
-
E.
Gharsana
Gharsana is a town in the arid northwestern region of Rajasthan, India, known for its agriculture supported by canal irrigation and its proximity to the India–Pakistan border.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6db04fc819094709f223e30a526 |
completed | April 20, 2026, 7:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e65d17848190a766c7feed636a5f |
completed | May 14, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_6a05e87f0f80819082d124bd27f3755e |
completed | May 14, 2026, 3:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e8cf25148190bbbe0c6474bc2d11 |
completed | May 14, 2026, 3:22 p.m. |
Created at: April 10, 2026, 12:02 p.m.