Triple
T10619386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waremme |
E295667
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
San Salvo
San Salvo is a coastal town in the Abruzzo region of Italy, known for its beaches on the Adriatic Sea and its mix of modern industry and traditional agriculture.
|
E875468
|
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: San Salvo | Statement: [Waremme, hasTwinTown, San Salvo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Salvo Context triple: [Waremme, hasTwinTown, San Salvo]
-
A.
Bossaso
Bossaso is a major port city in northeastern Somalia that serves as a key commercial and maritime hub on the Gulf of Aden.
-
B.
Djibouti City
Djibouti City is the largest urban center and main economic, political, and cultural hub of the Republic of Djibouti, located on the Gulf of Tadjoura in the Horn of Africa.
-
C.
Tripoli
Tripoli is a historic Mediterranean port city that serves as the capital and largest urban center of Libya.
-
D.
Tripoli
Tripoli is Lebanon’s second-largest city, a historic Mediterranean port known for its medieval Mamluk architecture and vibrant commercial life.
-
E.
Tripoli
Tripoli is a historic city in the central Peloponnese of Greece that serves as the main urban and administrative center of the Arcadia region.
- 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: San Salvo Triple: [Waremme, hasTwinTown, San Salvo]
Generated description
San Salvo is a coastal town in the Abruzzo region of Italy, known for its beaches on the Adriatic Sea and its mix of modern industry and traditional agriculture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: San Salvo Target entity description: San Salvo is a coastal town in the Abruzzo region of Italy, known for its beaches on the Adriatic Sea and its mix of modern industry and traditional agriculture.
-
A.
Bossaso
Bossaso is a major port city in northeastern Somalia that serves as a key commercial and maritime hub on the Gulf of Aden.
-
B.
Djibouti City
Djibouti City is the largest urban center and main economic, political, and cultural hub of the Republic of Djibouti, located on the Gulf of Tadjoura in the Horn of Africa.
-
C.
Tripoli
Tripoli is a historic Mediterranean port city that serves as the capital and largest urban center of Libya.
-
D.
Tripoli
Tripoli is Lebanon’s second-largest city, a historic Mediterranean port known for its medieval Mamluk architecture and vibrant commercial life.
-
E.
Tripoli
Tripoli is a historic city in the central Peloponnese of Greece that serves as the main urban and administrative center of the Arcadia region.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6ee1848190a7d5fcd40b06cfe3 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b86a5bc8190863034cc91fdbbb9 |
completed | April 10, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d96def8bfc81909d6a5addf724691b |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96fedb18881908570593856f4aade |
completed | April 10, 2026, 9:47 p.m. |
Created at: April 8, 2026, 8:21 p.m.