Triple
T15365517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lingotto (Turin Metro) |
E367402
|
entity |
| Predicate | adjacentStation |
P5707
|
FINISHED |
| Object |
Bengasi (Turin Metro)
Bengasi is a station on the Turin Metro system in Turin, Italy.
|
E1153412
|
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: Bengasi (Turin Metro) | Statement: [Lingotto (Turin Metro), adjacentStation, Bengasi (Turin Metro)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bengasi (Turin Metro) Context triple: [Lingotto (Turin Metro), adjacentStation, Bengasi (Turin Metro)]
-
A.
Turin Metro
The Turin Metro is a fully automated, driverless rapid transit system serving the city of Turin, Italy.
-
B.
Lingotto (Turin Metro)
Lingotto (Turin Metro) is an underground station on the Turin Metro system serving the Lingotto district and its large former Fiat factory complex in Turin, Italy.
-
C.
Brescia Metro
Brescia Metro is a fully automated light metro system serving the city of Brescia in northern Italy.
-
D.
Genoa Metro Line 1
Genoa Metro Line 1 is the primary light metro line serving the Italian city of Genoa, connecting key central and suburban areas through an underground rapid transit system.
-
E.
Rome Metro Line B
Rome Metro Line B is one of the main lines of the Rome Metro system, running through central and southern parts of the city and serving key sites such as the Colosseum.
- 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: Bengasi (Turin Metro) Triple: [Lingotto (Turin Metro), adjacentStation, Bengasi (Turin Metro)]
Generated description
Bengasi is a station on the Turin Metro system in Turin, Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bengasi (Turin Metro) Target entity description: Bengasi is a station on the Turin Metro system in Turin, Italy.
-
A.
Turin Metro
The Turin Metro is a fully automated, driverless rapid transit system serving the city of Turin, Italy.
-
B.
Lingotto (Turin Metro)
Lingotto (Turin Metro) is an underground station on the Turin Metro system serving the Lingotto district and its large former Fiat factory complex in Turin, Italy.
-
C.
Brescia Metro
Brescia Metro is a fully automated light metro system serving the city of Brescia in northern Italy.
-
D.
Genoa Metro Line 1
Genoa Metro Line 1 is the primary light metro line serving the Italian city of Genoa, connecting key central and suburban areas through an underground rapid transit system.
-
E.
Rome Metro Line B
Rome Metro Line B is one of the main lines of the Rome Metro system, running through central and southern parts of the city and serving key sites such as the Colosseum.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e497de48190be249b110999ec5c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b4cc39c81908a0aff959352f6d5 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0df908848190b05c2ecf64f10b08 |
completed | May 9, 2026, 10:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0e8f3b4481909642c91f1a54843c |
completed | May 9, 2026, 10:38 a.m. |
Created at: April 10, 2026, 3:18 a.m.