Triple
T9054398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byzacena |
E216961
|
entity |
| Predicate | hasImportantCity |
P316
|
FINISHED |
| Object |
Acholla
Acholla was an ancient coastal city in the Roman province of Byzacena, located in what is now modern-day Tunisia.
|
E775037
|
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: Acholla | Statement: [Byzacena, hasImportantCity, Acholla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acholla Context triple: [Byzacena, hasImportantCity, Acholla]
-
A.
Cholchol
Cholchol is a small rural municipality and town in southern Chile’s Araucanía Region, known for its Mapuche heritage and agricultural surroundings.
-
B.
Unaaha
Unaaha is a town in Indonesia that serves as an administrative and population center within the province of Southeast Sulawesi.
-
C.
Olosega
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
D.
Achao
Achao is a small coastal town on Quinchao Island in southern Chile, known for its traditional wooden architecture and historic UNESCO-listed church.
-
E.
Chiloda
Chiloda is a town in the Indian state of Gujarat, situated within the Gandhinagar region and functioning as a local residential and commercial hub.
- 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: Acholla Triple: [Byzacena, hasImportantCity, Acholla]
Generated description
Acholla was an ancient coastal city in the Roman province of Byzacena, located in what is now modern-day Tunisia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Acholla Target entity description: Acholla was an ancient coastal city in the Roman province of Byzacena, located in what is now modern-day Tunisia.
-
A.
Cholchol
Cholchol is a small rural municipality and town in southern Chile’s Araucanía Region, known for its Mapuche heritage and agricultural surroundings.
-
B.
Unaaha
Unaaha is a town in Indonesia that serves as an administrative and population center within the province of Southeast Sulawesi.
-
C.
Olosega
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
-
D.
Achao
Achao is a small coastal town on Quinchao Island in southern Chile, known for its traditional wooden architecture and historic UNESCO-listed church.
-
E.
Chiloda
Chiloda is a town in the Indian state of Gujarat, situated within the Gandhinagar region and functioning as a local residential and commercial hub.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a72e2dc8190a16deff8abe701b1 |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebdb01a8819084365c9b73506a28 |
completed | April 3, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69cfeda64d488190ad6f514f2e5c6195 |
completed | April 3, 2026, 4:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfee809b54819089d4d0d5c555e428 |
completed | April 3, 2026, 4:44 p.m. |
Created at: March 30, 2026, 7:10 p.m.