Triple
T15467568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parco Sempione |
E372068
|
entity |
| Predicate | publicTransportStop |
P6657
|
FINISHED |
| Object |
Lanza metro station
Lanza metro station is an underground station on Milan’s Metro Line 2, serving the central area near Sforza Castle and Parco Sempione.
|
E1158642
|
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: Lanza metro station | Statement: [Parco Sempione, publicTransportStop, Lanza metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lanza metro station Context triple: [Parco Sempione, publicTransportStop, Lanza metro station]
-
A.
Aigaleo metro station
Aigaleo metro station is an Athens Metro station serving the Aigaleo district in western Athens, Greece.
-
B.
Rondizzoni metro station
Rondizzoni metro station is a stop on the Santiago Metro system in Santiago, Chile.
-
C.
Flaminio metro station
Flaminio metro station is an underground station on Rome’s Metro Line A, serving the central Piazza del Popolo area and connecting it to the wider city network.
-
D.
San Cipriano metro station
San Cipriano metro station is a Madrid Metro station serving the Vicálvaro district in the eastern part of Madrid, Spain.
-
E.
Lago metro station
Lago metro station is a station on the Madrid Metro network serving the Casa de Campo area in western Madrid.
- 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: Lanza metro station Triple: [Parco Sempione, publicTransportStop, Lanza metro station]
Generated description
Lanza metro station is an underground station on Milan’s Metro Line 2, serving the central area near Sforza Castle and Parco Sempione.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lanza metro station Target entity description: Lanza metro station is an underground station on Milan’s Metro Line 2, serving the central area near Sforza Castle and Parco Sempione.
-
A.
Aigaleo metro station
Aigaleo metro station is an Athens Metro station serving the Aigaleo district in western Athens, Greece.
-
B.
Rondizzoni metro station
Rondizzoni metro station is a stop on the Santiago Metro system in Santiago, Chile.
-
C.
Flaminio metro station
Flaminio metro station is an underground station on Rome’s Metro Line A, serving the central Piazza del Popolo area and connecting it to the wider city network.
-
D.
San Cipriano metro station
San Cipriano metro station is a Madrid Metro station serving the Vicálvaro district in the eastern part of Madrid, Spain.
-
E.
Lago metro station
Lago metro station is a station on the Madrid Metro network serving the Casa de Campo area in western Madrid.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f69a31c81909a749247b6615d91 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d03845c8190bc8cb96827a5da39 |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff2e2fb3e48190b2274d54586b1f00 |
completed | May 9, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2ec231dc8190b82333e3e54ced20 |
completed | May 9, 2026, 12:55 p.m. |
Created at: April 10, 2026, 3:33 a.m.