Triple
T19615655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genoa Metro Line 1 |
E470852
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object |
Darsena
Darsena is a metro station on Genoa’s Line 1 serving the historic port area near the city’s old harbor.
|
E1386855
|
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: Darsena | Statement: [Genoa Metro Line 1, station, Darsena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darsena Context triple: [Genoa Metro Line 1, station, Darsena]
-
A.
Darsena grande
Darsena grande is the main historic dock basin within Venice’s Arsenale, once central to the Republic’s powerful maritime shipbuilding and naval operations.
-
B.
Sasa Port
Sasa Port is a major seaport and cargo gateway serving Davao City and the surrounding region in southeastern Mindanao, Philippines.
-
C.
Magdalla Port
Magdalla Port is a minor commercial seaport near Surat in Gujarat, India, handling regional cargo and supporting the area's maritime trade.
-
D.
Sitia Port
Sitia Port is a coastal harbor and ferry terminal in the town of Sitia on the eastern side of Crete, Greece, serving both local maritime traffic and regional connections.
-
E.
Agana Marina
Agana Marina is a small harbor and recreational boating facility located along the waterfront of Hagåtña, the capital of Guam.
- 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: Darsena Triple: [Genoa Metro Line 1, station, Darsena]
Generated description
Darsena is a metro station on Genoa’s Line 1 serving the historic port area near the city’s old harbor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darsena Target entity description: Darsena is a metro station on Genoa’s Line 1 serving the historic port area near the city’s old harbor.
-
A.
Darsena grande
Darsena grande is the main historic dock basin within Venice’s Arsenale, once central to the Republic’s powerful maritime shipbuilding and naval operations.
-
B.
Sasa Port
Sasa Port is a major seaport and cargo gateway serving Davao City and the surrounding region in southeastern Mindanao, Philippines.
-
C.
Magdalla Port
Magdalla Port is a minor commercial seaport near Surat in Gujarat, India, handling regional cargo and supporting the area's maritime trade.
-
D.
Sitia Port
Sitia Port is a coastal harbor and ferry terminal in the town of Sitia on the eastern side of Crete, Greece, serving both local maritime traffic and regional connections.
-
E.
Agana Marina
Agana Marina is a small harbor and recreational boating facility located along the waterfront of Hagåtña, the capital of Guam.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640cf418081909d69d5bd9c479fed |
completed | April 20, 2026, 3:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0771b607a481908f1ef27fd21ab249 |
completed | May 15, 2026, 7:19 p.m. |
| NEDg | Description generation | batch_6a0776c2482c8190b00e10c793506bcd |
completed | May 15, 2026, 7:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0777879ed0819096df261fa6178796 |
completed | May 15, 2026, 7:44 p.m. |
Created at: April 10, 2026, 1:43 p.m.