Triple
T14025141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saryu-class patrol vessel |
E337436
|
entity |
| Predicate | hasShip |
P14595
|
FINISHED |
| Object |
INS Sunayna
INS Sunayna is an offshore patrol vessel of the Indian Navy used for maritime surveillance, coastal security, and anti-piracy operations.
|
E1075291
|
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: INS Sunayna | Statement: [Saryu-class patrol vessel, hasShip, INS Sunayna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INS Sunayna Context triple: [Saryu-class patrol vessel, hasShip, INS Sunayna]
-
A.
Sunay
Sunay is a Turkish surname most notably associated with Cevdet Sunay, the fifth President of Turkey and former Chief of the General Staff.
-
B.
Solara
Solara is a young woman in the post-apocalyptic film "The Book of Eli" who becomes Eli’s companion and protégé on his journey to protect a sacred book.
-
C.
Saffi
Saffi is the young, spirited gypsy heroine and romantic lead in Johann Strauss II’s operetta "Der Zigeunerbaron."
-
D.
Saraya
Saraya is a professional wrestler best known for her groundbreaking WWE career under the name Paige and later work in All Elite Wrestling.
-
E.
Carina
Carina is a prominent southern constellation best known for containing Canopus, the second-brightest star in the night sky.
- 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: INS Sunayna Triple: [Saryu-class patrol vessel, hasShip, INS Sunayna]
Generated description
INS Sunayna is an offshore patrol vessel of the Indian Navy used for maritime surveillance, coastal security, and anti-piracy operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: INS Sunayna Target entity description: INS Sunayna is an offshore patrol vessel of the Indian Navy used for maritime surveillance, coastal security, and anti-piracy operations.
-
A.
Sunay
Sunay is a Turkish surname most notably associated with Cevdet Sunay, the fifth President of Turkey and former Chief of the General Staff.
-
B.
Solara
Solara is a young woman in the post-apocalyptic film "The Book of Eli" who becomes Eli’s companion and protégé on his journey to protect a sacred book.
-
C.
Saffi
Saffi is the young, spirited gypsy heroine and romantic lead in Johann Strauss II’s operetta "Der Zigeunerbaron."
-
D.
Saraya
Saraya is a professional wrestler best known for her groundbreaking WWE career under the name Paige and later work in All Elite Wrestling.
-
E.
Carina
Carina is a feminine given name used in various cultures, often associated with meanings like “beloved” or “dear.”
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa6ca7481908976ce748a1957b1 |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc33170ec8190b0ffe41a567a590b |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fbc6d1048081908fb2e798cbc9902f |
completed | May 6, 2026, 10:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbc76610008190bd3c7f357666c8db |
completed | May 6, 2026, 10:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.