Triple
T4914260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barnabas the Apostle |
E110308
|
entity |
| Predicate | traveledTo |
P2694
|
FINISHED |
| Object |
Derbe
Derbe was an ancient city in the region of Lycaonia in Asia Minor, known from the New Testament as a place visited by Paul and his companions during their missionary journeys.
|
E478895
|
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: Derbe | Statement: [Barnabas the Apostle, traveledTo, Derbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derbe Context triple: [Barnabas the Apostle, traveledTo, Derbe]
-
A.
Eulachstadt
Eulachstadt is a nickname for the Swiss city of Winterthur, reflecting its historical association with the Eulach River and its development as an important industrial and cultural center.
-
B.
Andlau
Andlau is a picturesque wine-growing village in northeastern France’s Alsace region, renowned for its historic abbey and surrounding vineyards.
-
C.
Trebsen
Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
-
D.
Debar
Debar is a small town in western North Macedonia known for its proximity to Mount Korab and the Macedonian–Albanian border.
-
E.
Bogrod
Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
- 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: Derbe Triple: [Barnabas the Apostle, traveledTo, Derbe]
Generated description
Derbe was an ancient city in the region of Lycaonia in Asia Minor, known from the New Testament as a place visited by Paul and his companions during their missionary journeys.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Derbe Target entity description: Derbe was an ancient city in the region of Lycaonia in Asia Minor, known from the New Testament as a place visited by Paul and his companions during their missionary journeys.
-
A.
Eulachstadt
Eulachstadt is a nickname for the Swiss city of Winterthur, reflecting its historical association with the Eulach River and its development as an important industrial and cultural center.
-
B.
Andlau
Andlau is a picturesque wine-growing village in northeastern France’s Alsace region, renowned for its historic abbey and surrounding vineyards.
-
C.
Trebsen
Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
-
D.
Debar
Debar is a small town in western North Macedonia known for its proximity to Mount Korab and the Macedonian–Albanian border.
-
E.
Bogrod
Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9f12b48190b3cb5378958d03cd |
completed | March 20, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6feaf3dc81908b2c7a7409b1c952 |
completed | March 21, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_69be7147bff8819097059b1b24e2b0f7 |
completed | March 21, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be71d8dc6081908608d9e90498579b |
completed | March 21, 2026, 10:24 a.m. |
Created at: March 20, 2026, 1:29 p.m.