Triple
T14551636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Museum of Italian Judaism and the Shoah |
E341431
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MEIS
MEIS is a museum in Ferrara, Italy dedicated to exploring the history, culture, and experiences of Italian Judaism with a particular focus on the Holocaust.
|
E1107010
|
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: MEIS | Statement: [National Museum of Italian Judaism and the Shoah, abbreviation, MEIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEIS Context triple: [National Museum of Italian Judaism and the Shoah, abbreviation, MEIS]
-
A.
MEI
MEI is a climate index that quantifies the strength and phase of the El Niño–Southern Oscillation by combining multiple atmospheric and oceanic variables over the tropical Pacific.
-
B.
MEI
MEI is an abbreviation for Matsushita Electric Industrial Co., the Japanese electronics company better known globally by its Panasonic brand.
-
C.
MEI
MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
-
D.
MEI
MEI is the three-letter IATA airport code for Meridian Regional Airport in Meridian, Mississippi, United States.
-
E.
Meis
Meis is the Turkish name for Kastellorizo, a small Greek island in the eastern Mediterranean near the Turkish coast.
- 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: MEIS Triple: [National Museum of Italian Judaism and the Shoah, abbreviation, MEIS]
Generated description
MEIS is a museum in Ferrara, Italy dedicated to exploring the history, culture, and experiences of Italian Judaism with a particular focus on the Holocaust.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MEIS Target entity description: MEIS is a museum in Ferrara, Italy dedicated to exploring the history, culture, and experiences of Italian Judaism with a particular focus on the Holocaust.
-
A.
MEI
MEI is a climate index that quantifies the strength and phase of the El Niño–Southern Oscillation by combining multiple atmospheric and oceanic variables over the tropical Pacific.
-
B.
MEI
MEI is an abbreviation for Matsushita Electric Industrial Co., the Japanese electronics company better known globally by its Panasonic brand.
-
C.
MEI
MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
-
D.
MEI
MEI is the three-letter IATA airport code for Meridian Regional Airport in Meridian, Mississippi, United States.
-
E.
Meis
Meis is the Turkish name for Kastellorizo, a small Greek island in the eastern Mediterranean near the Turkish coast.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab7d698819085fd81d7b6f96317 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8b8566cc81908c5cecefb5d71e63 |
completed | May 8, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8e8c320c8190b08af08226e50622 |
completed | May 8, 2026, 7:19 a.m. |
Created at: April 10, 2026, 1:23 a.m.