Triple
T19930654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Amiata housing, Milan |
E479042
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Milan
Milan is a major city in northern Italy renowned as a global capital of fashion, design, finance, and culture.
|
E11464
|
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: Milan | Statement: [Monte Amiata housing, Milan, locatedIn, Milan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milan Context triple: [Monte Amiata housing, Milan, locatedIn, Milan]
-
A.
Milan
Milan is a major Italian metropolis renowned as a global center for fashion, design, finance, and culture.
-
B.
Milan
Milan is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
-
C.
Milan
Milan is a municipality located in Colombia’s Caquetá Department, within the Amazonian region of the country.
-
D.
Milan
Milan is a village in northern Ohio best known as the birthplace of inventor Thomas Edison and for its historic canal-era architecture.
-
E.
Milano
Milano is a popular line of chocolate-filled sandwich cookies produced by Pepperidge Farm, a subsidiary of Campbell Soup Company.
- 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: Milan Triple: [Monte Amiata housing, Milan, locatedIn, Milan]
Generated description
Milan is a major city in northern Italy renowned as a global capital of fashion, design, finance, and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milan Target entity description: Milan is a major city in northern Italy renowned as a global capital of fashion, design, finance, and culture.
-
A.
Milan
chosen
Milan is a major Italian metropolis renowned as a global center for fashion, design, finance, and culture.
-
B.
Milan
Milan is a village in northern Ohio best known as the birthplace of inventor Thomas Edison and for its historic canal-era architecture.
-
C.
Milan
Milan is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
-
D.
Milan
Milan is a municipality located in Colombia’s Caquetá Department, within the Amazonian region of the country.
-
E.
Milano
Milano is a popular line of chocolate-filled sandwich cookies produced by Pepperidge Farm, a subsidiary of Campbell Soup Company.
- F. None of above.
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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a13265c8190bc01d3af5bd658d7 |
completed | April 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6d7d89081909e9d177eb1041f41 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f7d235688190971c9c0063669470 |
completed | May 16, 2026, 4:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f891e5c081909e30e9ce7c271359 |
completed | May 16, 2026, 4:54 a.m. |
Created at: April 10, 2026, 1:53 p.m.