Triple
T15429092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milan Metro Line 3 |
E369587
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object |
Maciachini
Maciachini is an underground station on Milan's Metro Line 3 serving the Maciachini district in the northern part of the city.
|
E1156279
|
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: Maciachini | Statement: [Milan Metro Line 3, station, Maciachini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maciachini Context triple: [Milan Metro Line 3, station, Maciachini]
-
A.
Machín
Machín is a stratovolcano in Colombia’s Central Andes known for its explosive eruptions and significant volcanic hazards.
-
B.
Machin
Machin is a surname most notably associated with British sculptor and coin designer Arnold Machin, whose portrait of Queen Elizabeth II appeared on UK coins for decades.
-
C.
Machin
Machin is a small township and municipality located in northwestern Ontario, Canada.
-
D.
Maquinna
Maquinna was a prominent 18th–19th century Nuu-chah-nulth chief known for his influential role in early contacts and trade with European explorers on the Pacific Northwest Coast.
-
E.
MacKeam
MacKeam is a Scottish surname historically linked to Clan Gunn, a Highland clan from the far north of Scotland.
- 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: Maciachini Triple: [Milan Metro Line 3, station, Maciachini]
Generated description
Maciachini is an underground station on Milan's Metro Line 3 serving the Maciachini district in the northern part of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maciachini Target entity description: Maciachini is an underground station on Milan's Metro Line 3 serving the Maciachini district in the northern part of the city.
-
A.
Machín
Machín is a stratovolcano in Colombia’s Central Andes known for its explosive eruptions and significant volcanic hazards.
-
B.
Machin
Machin is a surname most notably associated with British sculptor and coin designer Arnold Machin, whose portrait of Queen Elizabeth II appeared on UK coins for decades.
-
C.
Machin
Machin is a small township and municipality located in northwestern Ontario, Canada.
-
D.
Maquinna
Maquinna was a prominent 18th–19th century Nuu-chah-nulth chief known for his influential role in early contacts and trade with European explorers on the Pacific Northwest Coast.
-
E.
MacKeam
MacKeam is a Scottish surname historically linked to Clan Gunn, a Highland clan from the far north of Scotland.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec31f4881908b26ff7c381d7bc9 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a827d9081909fabc48bc685ba5b |
completed | May 9, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_69ff1b4c13e08190b2ccee59da02d0ae |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1bdb39b481908f0b1df595837bc4 |
completed | May 9, 2026, 11:34 a.m. |
Created at: April 10, 2026, 3:21 a.m.