Triple
T8849304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bergamo |
E210593
|
entity |
| Predicate | hasMuseum |
P105
|
FINISHED |
| Object |
GAMeC
GAMeC is a modern and contemporary art gallery in Bergamo, Italy, known for its rotating exhibitions and cultural programming.
|
E761224
|
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: GAMeC | Statement: [Bergamo, hasMuseum, GAMeC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GAMeC Context triple: [Bergamo, hasMuseum, GAMeC]
-
A.
GAC
GAC was a key scientific advisory body to the U.S. Atomic Energy Commission that evaluated nuclear research, weapons development, and related policy issues during the early Cold War era.
-
B.
GAC
The GAC is a committee within the Internet Corporation for Assigned Names and Numbers (ICANN) that provides governments and intergovernmental organizations with a formal voice in global internet governance and policy development.
-
C.
EGMC
EGMC is the ICAO airport code for London Southend Airport in Essex, England.
-
D.
GAMM
GAMM is a European scientific society focused on applied mathematics and mechanics that played a key role in the early development of programming languages.
-
E.
Biqueli
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
- 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: GAMeC Triple: [Bergamo, hasMuseum, GAMeC]
Generated description
GAMeC is a modern and contemporary art gallery in Bergamo, Italy, known for its rotating exhibitions and cultural programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GAMeC Target entity description: GAMeC is a modern and contemporary art gallery in Bergamo, Italy, known for its rotating exhibitions and cultural programming.
-
A.
GAC
GAC was a key scientific advisory body to the U.S. Atomic Energy Commission that evaluated nuclear research, weapons development, and related policy issues during the early Cold War era.
-
B.
GAC
The GAC is a committee within the Internet Corporation for Assigned Names and Numbers (ICANN) that provides governments and intergovernmental organizations with a formal voice in global internet governance and policy development.
-
C.
EGMC
EGMC is the ICAO airport code for London Southend Airport in Essex, England.
-
D.
GAMM
GAMM is a European scientific society focused on applied mathematics and mechanics that played a key role in the early development of programming languages.
-
E.
Biqueli
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60abb0748190af41d4e1f419e39c |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf89c6788881908d6f5c49434b556d |
completed | April 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69cf8ab7da348190b423f0768fe9dc1a |
completed | April 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8bd252a4819098891bbb67baf897 |
completed | April 3, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:49 p.m.