Triple
T4101393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djerba |
E87947
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Erriadh
Erriadh is a traditional village on the Tunisian island of Djerba, known for its historic Jewish community and the ancient El Ghriba Synagogue.
|
E414096
|
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: Erriadh | Statement: [Djerba, hasVillage, Erriadh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erriadh Context triple: [Djerba, hasVillage, Erriadh]
-
A.
Ryti
Ryti is the surname of Risto Ryti, who served as President of Finland during World War II.
-
B.
Heraia
Heraia was an ancient Greek women’s athletic festival and footrace held at Olympia in honor of the goddess Hera.
-
C.
Diada
Diada is the common short name for La Diada, the Catalan National Day celebrated annually on September 11 in Catalonia, Spain.
-
D.
Daura
Daura is a historic town in Katsina State, northern Nigeria, regarded as a cultural center of the Hausa people and known as the hometown of former president Muhammadu Buhari.
-
E.
Errapragada
Errapragada, also known as Yerrapragada, was a prominent 14th-century Telugu poet and scholar renowned for his contributions to classical Telugu literature and translation of Sanskrit epics.
- 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: Erriadh Triple: [Djerba, hasVillage, Erriadh]
Generated description
Erriadh is a traditional village on the Tunisian island of Djerba, known for its historic Jewish community and the ancient El Ghriba Synagogue.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erriadh Target entity description: Erriadh is a traditional village on the Tunisian island of Djerba, known for its historic Jewish community and the ancient El Ghriba Synagogue.
-
A.
Ryti
Ryti is the surname of Risto Ryti, who served as President of Finland during World War II.
-
B.
Heraia
Heraia was an ancient Greek women’s athletic festival and footrace held at Olympia in honor of the goddess Hera.
-
C.
Diada
Diada is the common short name for La Diada, the Catalan National Day celebrated annually on September 11 in Catalonia, Spain.
-
D.
Daura
Daura is a historic town in Katsina State, northern Nigeria, regarded as a cultural center of the Hausa people and known as the hometown of former president Muhammadu Buhari.
-
E.
Errapragada
Errapragada, also known as Yerrapragada, was a prominent 14th-century Telugu poet and scholar renowned for his contributions to classical Telugu literature and translation of Sanskrit epics.
- 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_69aed94564cc8190a9c1457daedb6e7f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0ed168819093c83ba079d6725c |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b7833b081909bf5a87ee709b49f |
completed | March 14, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69b56f33f7688190a017e4486a3ba542 |
completed | March 14, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56fafb8208190997b6d91c4a1774d |
completed | March 14, 2026, 2:24 p.m. |
Created at: March 9, 2026, 3:40 p.m.