Triple
T9348196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idstein |
E224946
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Chiusa
Chiusa is a small historic town in South Tyrol, northern Italy, known for its picturesque medieval center and Alpine surroundings.
|
E793072
|
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: Chiusa | Statement: [Idstein, hasTwinTown, Chiusa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chiusa Context triple: [Idstein, hasTwinTown, Chiusa]
-
A.
Chiusi
Chiusi is an ancient town in central Italy renowned as one of the principal cities of the Etruscan civilization and noted for its rich archaeological heritage.
-
B.
Clausura
Clausura is the closing half of a split football season format commonly used in Latin American leagues, following the Apertura tournament.
-
C.
The Close
The Close is the historic cathedral precinct in Salisbury, England, encompassing Salisbury Cathedral and its surrounding lawns, residences, and ecclesiastical buildings.
-
D.
The Closers
The Closers is a crime novel by Michael Connelly featuring LAPD detective Harry Bosch returning from retirement to investigate a cold case murder.
-
E.
Colpo d’occhio
Colpo d’occhio is an Italian thriller-drama film known for its exploration of obsession, jealousy, and the art world.
- 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: Chiusa Triple: [Idstein, hasTwinTown, Chiusa]
Generated description
Chiusa is a small historic town in South Tyrol, northern Italy, known for its picturesque medieval center and Alpine surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chiusa Target entity description: Chiusa is a small historic town in South Tyrol, northern Italy, known for its picturesque medieval center and Alpine surroundings.
-
A.
Chiusi
Chiusi is an ancient town in central Italy renowned as one of the principal cities of the Etruscan civilization and noted for its rich archaeological heritage.
-
B.
Clausura
Clausura is the closing half of a split football season format commonly used in Latin American leagues, following the Apertura tournament.
-
C.
The Close
The Close is the historic cathedral precinct in Salisbury, England, encompassing Salisbury Cathedral and its surrounding lawns, residences, and ecclesiastical buildings.
-
D.
The Closers
The Closers is a crime novel by Michael Connelly featuring LAPD detective Harry Bosch returning from retirement to investigate a cold case murder.
-
E.
Colpo d’occhio
Colpo d’occhio is an Italian thriller-drama film known for its exploration of obsession, jealousy, and the art world.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f107f0081908938f4b814eca5fc |
completed | April 1, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e432106c81908ae080f37bc80f3f |
completed | April 4, 2026, 10:13 a.m. |
| NEDg | Description generation | batch_69d0e5752a38819089b23ac52f0a6a39 |
completed | April 4, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e64cb4dc81908cef7d729d9cfb4d |
completed | April 4, 2026, 10:22 a.m. |
Created at: March 30, 2026, 7:41 p.m.