Triple
T16114862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine Triest |
E390976
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Triest
Triest is a surname of likely European origin, notably borne by figures such as the historical clergyman Antoine Triest.
|
E1206028
|
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: Triest | Statement: [Antoine Triest, familyName, Triest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triest Context triple: [Antoine Triest, familyName, Triest]
-
A.
Triestina
Triestina is an Italian professional football club based in Trieste, known for its historic presence in the country's football leagues and regional rivalries in northeastern Italy.
-
B.
Rijeka
Rijeka is a significant Croatian port city on the Adriatic Sea, known for its maritime industry, cultural heritage, and role as a key transport hub.
-
C.
Ragusa
Ragusa is a historic baroque hilltop city in southeastern Sicily, Italy, renowned for its UNESCO-listed old town and distinctive architecture.
-
D.
Ragusa
Ragusa is a historic Adriatic port city, now known as Dubrovnik in Croatia, renowned for its maritime trade and well-preserved medieval architecture.
-
E.
Mendrisio
Mendrisio is a district and town in the canton of Ticino in southern Switzerland, known for its historic center and proximity to the Italian border.
- 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: Triest Triple: [Antoine Triest, familyName, Triest]
Generated description
Triest is a surname of likely European origin, notably borne by figures such as the historical clergyman Antoine Triest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Triest Target entity description: Triest is a surname of likely European origin, notably borne by figures such as the historical clergyman Antoine Triest.
-
A.
Triestina
Triestina is an Italian professional football club based in Trieste, known for its historic presence in the country's football leagues and regional rivalries in northeastern Italy.
-
B.
Rijeka
Rijeka is a significant Croatian port city on the Adriatic Sea, known for its maritime industry, cultural heritage, and role as a key transport hub.
-
C.
Ragusa
Ragusa is a historic baroque hilltop city in southeastern Sicily, Italy, renowned for its UNESCO-listed old town and distinctive architecture.
-
D.
Ragusa
Ragusa is a historic Adriatic port city, now known as Dubrovnik in Croatia, renowned for its maritime trade and well-preserved medieval architecture.
-
E.
Mendrisio
Mendrisio is a district and town in the canton of Ticino in southern Switzerland, known for its historic center and proximity to the Italian border.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20169ce488190bbc814f23a3b7547 |
completed | April 17, 2026, 9:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f8174648190a44a2605a77c859d |
completed | May 10, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a002156469881908cbd6c69ce7133fc |
completed | May 10, 2026, 6:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0021d96ffc8190969ad627c639e4d9 |
completed | May 10, 2026, 6:12 a.m. |
Created at: April 10, 2026, 5 a.m.