Triple
T18814852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punat |
E460108
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Punat Marina
Punat Marina is a well-equipped yacht marina on the island of Krk in Croatia, known as one of the country’s oldest and most popular nautical tourism centers.
|
E1343792
|
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: Punat Marina | Statement: [Punat, knownFor, Punat Marina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Punat Marina Context triple: [Punat, knownFor, Punat Marina]
-
A.
Agana Marina
Agana Marina is a small harbor and recreational boating facility located along the waterfront of Hagåtña, the capital of Guam.
-
B.
Tutukaka Marina
Tutukaka Marina is a popular Northland, New Zealand marina and gateway for boating, fishing, and dive trips to the nearby Poor Knights Islands.
-
C.
Skopea Marina
Skopea Marina is a yacht marina located in Göcek, a popular boating and sailing destination on Turkey’s Turquoise Coast.
-
D.
Sasa Port
Sasa Port is a major seaport and cargo gateway serving Davao City and the surrounding region in southeastern Mindanao, Philippines.
-
E.
Marina di Praia
Marina di Praia is a small, picturesque beach and fishing cove on Italy’s Amalfi Coast, known for its dramatic cliffs, clear waters, and intimate seaside atmosphere.
- 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: Punat Marina Triple: [Punat, knownFor, Punat Marina]
Generated description
Punat Marina is a well-equipped yacht marina on the island of Krk in Croatia, known as one of the country’s oldest and most popular nautical tourism centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Punat Marina Target entity description: Punat Marina is a well-equipped yacht marina on the island of Krk in Croatia, known as one of the country’s oldest and most popular nautical tourism centers.
-
A.
Agana Marina
Agana Marina is a small harbor and recreational boating facility located along the waterfront of Hagåtña, the capital of Guam.
-
B.
Tutukaka Marina
Tutukaka Marina is a popular Northland, New Zealand marina and gateway for boating, fishing, and dive trips to the nearby Poor Knights Islands.
-
C.
Skopea Marina
Skopea Marina is a yacht marina located in Göcek, a popular boating and sailing destination on Turkey’s Turquoise Coast.
-
D.
Sasa Port
Sasa Port is a major seaport and cargo gateway serving Davao City and the surrounding region in southeastern Mindanao, Philippines.
-
E.
Marina di Praia
Marina di Praia is a small, picturesque beach and fishing cove on Italy’s Amalfi Coast, known for its dramatic cliffs, clear waters, and intimate seaside atmosphere.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3df2d3881909b336d813bbfd0aa |
completed | April 20, 2026, 3:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a055bc7cf40819084b9b975daa86b5f |
completed | May 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a055d9a9da88190b974e8803ca8537f |
completed | May 14, 2026, 5:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a055e1a22308190bb7f2337fabc5bdf |
completed | May 14, 2026, 5:31 a.m. |
Created at: April 10, 2026, 11:53 a.m.