Triple
T14157331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Küsnacht |
E350845
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Stroncone |
E623023
|
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: Stroncone | Statement: [Küsnacht, hasTwinTown, Stroncone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stroncone Context triple: [Küsnacht, hasTwinTown, Stroncone]
-
A.
Stroncone
chosen
Stroncone is a historic hilltop town in central Italy’s Umbria region, known for its medieval architecture and scenic views near Terni.
-
B.
Tortorella
Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
-
C.
Carnaza
Carnaza is a small island barangay of Daanbantayan in northern Cebu, Philippines, known for its remote beaches and fishing community.
-
D.
Cugnoli
Cugnoli is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local culture.
-
E.
Sgurgola
Sgurgola is a small municipality in the Province of Frosinone in Italy’s Lazio region, known for its hilltop setting and historic medieval character.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61377de48190a3470d28f0edd34a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7ef4d80819098d210503f5d22e9 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 12:58 a.m.