Triple
T15429104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milan Metro Line 3 |
E369587
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object |
Brenta
Brenta is a station on Milan’s Metro Line 3 serving the city’s public transportation network.
|
E1156283
|
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: Brenta | Statement: [Milan Metro Line 3, station, Brenta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brenta Context triple: [Milan Metro Line 3, station, Brenta]
-
A.
Brenta River
The Brenta River is a major watercourse in northeastern Italy that flows from the Alps through the Veneto region before emptying into the Adriatic Sea.
-
B.
Iassogna
Iassogna is the surname of Dan Iassogna, an American Major League Baseball umpire.
-
C.
Natisone
Natisone is a river in northeastern Italy and western Slovenia that flows through the Natisone Valley before joining the Isonzo River.
-
D.
Riviera del Brenta
Riviera del Brenta is a scenic area in northeastern Italy famed for its historic Venetian villas lining the Brenta River between Padua and Venice.
-
E.
Canale d’Agordo
Canale d’Agordo is a small town in the Veneto region of northern Italy, best known as the birthplace of Pope John Paul I, Albino Luciani.
- 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: Brenta Triple: [Milan Metro Line 3, station, Brenta]
Generated description
Brenta is a station on Milan’s Metro Line 3 serving the city’s public transportation network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brenta Target entity description: Brenta is a station on Milan’s Metro Line 3 serving the city’s public transportation network.
-
A.
Brenta River
The Brenta River is a major watercourse in northeastern Italy that flows from the Alps through the Veneto region before emptying into the Adriatic Sea.
-
B.
Iassogna
Iassogna is the surname of Dan Iassogna, an American Major League Baseball umpire.
-
C.
Natisone
Natisone is a river in northeastern Italy and western Slovenia that flows through the Natisone Valley before joining the Isonzo River.
-
D.
Riviera del Brenta
Riviera del Brenta is a scenic area in northeastern Italy famed for its historic Venetian villas lining the Brenta River between Padua and Venice.
-
E.
Canale d’Agordo
Canale d’Agordo is a small town in the Veneto region of northern Italy, best known as the birthplace of Pope John Paul I, Albino Luciani.
- 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.