Triple
T18814867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Punat |
E460108
|
entity |
| Predicate | hasMarina |
P3007
|
FINISHED |
| Object |
Marina Punat
Marina Punat is a well-known yacht marina and nautical tourism center located near the town of Punat on the island of Krk in Croatia.
|
E1343793
|
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: Marina Punat | Statement: [Punat, hasMarina, Marina Punat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marina Punat Context triple: [Punat, hasMarina, Marina Punat]
-
A.
Marina Sbisa
Marina Sbisa is an Italian philosopher and linguist known for her influential work in pragmatics and speech act theory.
-
B.
Marina Zadar
Marina Zadar is a coastal marina in the Croatian city of Zadar, serving as a popular docking and service hub for yachts and boats in the Adriatic Sea.
-
C.
Marina Chapelin
Marina Chapelin is a coastal marina in Varadero, Cuba, serving as a docking and service hub for recreational boats and yachts.
-
D.
Marina Severa
Marina Severa was a Roman empress of the 4th century, known as the first wife of Emperor Valentinian I and the mother of Emperor Gratian.
-
E.
Marina Lu
Marina Lu is the mother of renowned cellist Yo-Yo Ma.
- 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: Marina Punat Triple: [Punat, hasMarina, Marina Punat]
Generated description
Marina Punat is a well-known yacht marina and nautical tourism center located near the town of Punat on the island of Krk in Croatia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marina Punat Target entity description: Marina Punat is a well-known yacht marina and nautical tourism center located near the town of Punat on the island of Krk in Croatia.
-
A.
Marina Sbisa
Marina Sbisa is an Italian philosopher and linguist known for her influential work in pragmatics and speech act theory.
-
B.
Marina Zadar
Marina Zadar is a coastal marina in the Croatian city of Zadar, serving as a popular docking and service hub for yachts and boats in the Adriatic Sea.
-
C.
Marina Chapelin
Marina Chapelin is a coastal marina in Varadero, Cuba, serving as a docking and service hub for recreational boats and yachts.
-
D.
Marina Severa
Marina Severa was a Roman empress of the 4th century, known as the first wife of Emperor Valentinian I and the mother of Emperor Gratian.
-
E.
Marina Lu
Marina Lu is the mother of renowned cellist Yo-Yo Ma.
- 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.