Triple
T4361992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Navarino |
E98679
|
entity |
| Predicate | hasShipInvolved |
P862
|
FINISHED |
| Object |
Trident
Trident was a warship that took part in the pivotal 1827 naval Battle of Navarino during the Greek War of Independence.
|
E433285
|
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: Trident | Statement: [Battle of Navarino, hasShipInvolved, Trident]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trident Context triple: [Battle of Navarino, hasShipInvolved, Trident]
-
A.
Trident
Trident is Microsoft's proprietary web browser layout engine that powered Internet Explorer for rendering HTML and web content.
-
B.
Trident
Trident is the iconic three-pronged spear symbol that serves as the emblem of the Italian luxury car manufacturer Maserati.
-
C.
Trident
Trident is a submarine-launched ballistic missile system that forms a key part of the nuclear deterrent forces of the United States and the United Kingdom.
-
D.
The Trident
The Trident is a major river system in the fictional continent of Westeros, famed as the site of several pivotal battles in George R. R. Martin’s A Song of Ice and Fire series.
-
E.
The Trident
The Trident is a local area or housing estate within the Palacefields district, likely forming one of its distinct residential neighbourhoods.
- 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: Trident Triple: [Battle of Navarino, hasShipInvolved, Trident]
Generated description
Trident was a warship that took part in the pivotal 1827 naval Battle of Navarino during the Greek War of Independence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trident Target entity description: Trident was a warship that took part in the pivotal 1827 naval Battle of Navarino during the Greek War of Independence.
-
A.
Trident
Trident is Microsoft's proprietary web browser layout engine that powered Internet Explorer for rendering HTML and web content.
-
B.
Trident
Trident is the iconic three-pronged spear symbol that serves as the emblem of the Italian luxury car manufacturer Maserati.
-
C.
Trident
Trident is a submarine-launched ballistic missile system that forms a key part of the nuclear deterrent forces of the United States and the United Kingdom.
-
D.
The Trident
The Trident is a major river system in the fictional continent of Westeros, famed as the site of several pivotal battles in George R. R. Martin’s A Song of Ice and Fire series.
-
E.
The Trident
The Trident is a local area or housing estate within the Palacefields district, likely forming one of its distinct residential neighbourhoods.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e47d388190b31500189577cd75 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbc357988190a2982a86847e2c42 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5dc6a97208190b91d784285657bff |
completed | March 14, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5dce749708190b9daf2c192b32de3 |
completed | March 14, 2026, 10:10 p.m. |
Created at: March 12, 2026, 11:16 p.m.