Triple
T7502370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neu-Ulm |
E177294
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Trissino
Trissino is a small town in the Veneto region of northern Italy, known for its industrial activity and proximity to the city of Vicenza.
|
E668270
|
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: Trissino | Statement: [Neu-Ulm, twinTown, Trissino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trissino Context triple: [Neu-Ulm, twinTown, Trissino]
-
A.
Filostrato
Filostrato is a narrative poem by Giovanni Boccaccio that retells the tragic love story of Troilus and Criseyde, serving as a key source for later adaptations such as Chaucer’s version.
-
B.
Giordano
Giordano is an Italian surname borne by various notable figures in fields such as literature, science, and the arts.
-
C.
Ossiano
Ossiano is an acclaimed fine-dining seafood restaurant in Dubai known for its immersive underwater aquarium setting and innovative tasting menus.
-
D.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
E.
Ilario
Ilario is a given name, primarily used in Italian and Spanish contexts, that derives from the Latin name Hilaris meaning "cheerful" or "joyful."
- 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: Trissino Triple: [Neu-Ulm, twinTown, Trissino]
Generated description
Trissino is a small town in the Veneto region of northern Italy, known for its industrial activity and proximity to the city of Vicenza.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trissino Target entity description: Trissino is a small town in the Veneto region of northern Italy, known for its industrial activity and proximity to the city of Vicenza.
-
A.
Filostrato
Filostrato is a narrative poem by Giovanni Boccaccio that retells the tragic love story of Troilus and Criseyde, serving as a key source for later adaptations such as Chaucer’s version.
-
B.
Giordano
Giordano is an Italian surname borne by various notable figures in fields such as literature, science, and the arts.
-
C.
Ossiano
Ossiano is an acclaimed fine-dining seafood restaurant in Dubai known for its immersive underwater aquarium setting and innovative tasting menus.
-
D.
Sebastiano
Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
-
E.
Ilario
Ilario is a given name, primarily used in Italian and Spanish contexts, that derives from the Latin name Hilaris meaning "cheerful" or "joyful."
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f59be2748190ad8e94179f594e51 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c9953e88190a1e0e899f2ddf822 |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83defe434819086bf6d63c8f2675e |
completed | March 28, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83e531ea881909b6186de9adbccc0 |
completed | March 28, 2026, 8:47 p.m. |
Created at: March 27, 2026, 3:44 p.m.