Triple
T7892715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lystra |
E183272
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Derbe |
E478895
|
NE FINISHED |
How this triple was built (2 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: [Lystra, locatedNear, Derbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derbe Context triple: [Lystra, locatedNear, Derbe]
-
A.
Derbe
chosen
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.
-
B.
Durbach
Durbach is a wine-growing municipality in southwestern Germany, renowned for its vineyards and picturesque location in the Black Forest region.
-
C.
Todenfeld
Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
D.
Tarusa
Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
-
E.
Dömitz
Dömitz is a small historic town in northern Germany, known for its well-preserved fortress and location on the Elbe River near the former inner-German border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39fef2e48190a6282c217c33c57a |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ba51ee48190b654a931da2c049f |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5 p.m.