Triple
T2026941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colmar |
E44428
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Lucca |
E97408
|
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: Lucca | Statement: [Colmar, twinTown, Lucca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucca Context triple: [Colmar, twinTown, Lucca]
-
A.
Lucca
chosen
Lucca is a historic Tuscan city renowned for its well-preserved Renaissance walls, medieval architecture, and charming old town.
-
B.
Veron
Veron is a microbiologist credited with formally naming and classifying the bacterial genus Campylobacter.
-
C.
Parla
Parla is a suburban municipality and residential town located in the southern metropolitan area of Madrid, Spain.
-
D.
Luins
Luins is a small wine-producing municipality in the canton of Vaud in western Switzerland, known for its vineyards and scenic location near Lake Geneva.
-
E.
Ladispoli
Ladispoli is a coastal town in the Lazio region of central Italy, known for its beaches along the Tyrrhenian Sea and proximity to Rome.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb911e5dc819097e40af0da4d01e7 |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0afc9e3c8190a045ef1c987c4141 |
completed | March 8, 2026, 11:49 p.m. |
Created at: March 4, 2026, 7:38 p.m.