Triple
T23393532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario Regiment (Tank) |
E594083
|
entity |
| Predicate | hasBattleHonour |
P12198
|
FINISHED |
| Object |
Valguarnera
Valguarnera is a World War II battle in Sicily, Italy, recognized for its strategic importance during the Allied invasion of the island.
|
E1589608
|
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: Valguarnera | Statement: [Ontario Regiment (Tank), hasBattleHonour, Valguarnera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valguarnera Context triple: [Ontario Regiment (Tank), hasBattleHonour, Valguarnera]
-
A.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
B.
Torredembarra
Torredembarra is a coastal town in Catalonia, Spain, known for its Mediterranean beaches, historic old quarter, and well-preserved lighthouse.
-
C.
Tordera
Tordera is a municipality in the Maresme comarca of Catalonia, Spain, known for its rural landscapes and proximity to the Costa Brava.
-
D.
Vallmoll
Vallmoll is a small municipality in the province of Tarragona, within the autonomous community of Catalonia in northeastern Spain.
-
E.
Camarasa
Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera 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: Valguarnera Triple: [Ontario Regiment (Tank), hasBattleHonour, Valguarnera]
Generated description
Valguarnera is a World War II battle in Sicily, Italy, recognized for its strategic importance during the Allied invasion of the island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valguarnera Target entity description: Valguarnera is a World War II battle in Sicily, Italy, recognized for its strategic importance during the Allied invasion of the island.
-
A.
Noguera Pallaresa
Noguera Pallaresa is a river in the Catalan Pyrenees of northeastern Spain, renowned for its whitewater rafting and kayaking.
-
B.
Torredembarra
Torredembarra is a coastal town in Catalonia, Spain, known for its Mediterranean beaches, historic old quarter, and well-preserved lighthouse.
-
C.
Tordera
Tordera is a municipality in the Maresme comarca of Catalonia, Spain, known for its rural landscapes and proximity to the Costa Brava.
-
D.
Vallmoll
Vallmoll is a small municipality in the province of Tarragona, within the autonomous community of Catalonia in northeastern Spain.
-
E.
Camarasa
Camarasa is a municipality in the province of Lleida, Catalonia, Spain, known for its reservoir and scenic location in the Noguera 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49df4308190ab4ab31310af81ed |
completed | April 29, 2026, 6:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c82403e108190abd79eecc949a1d7 |
completed | May 19, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_6a0ca6eee2f48190b4e03039c4c96abe |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca819f6dc8190852bb3c06768ac5a |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 5:36 p.m.