Triple
T1234045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuril Islands |
E26507
|
entity |
| Predicate | hasMajorIsland |
P756
|
FINISHED |
| Object |
Ekarma
Ekarma is an uninhabited volcanic island in the central Kuril Islands chain of the northwest Pacific Ocean.
|
E141092
|
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: Ekarma | Statement: [Kuril Islands, hasMajorIsland, Ekarma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ekarma Context triple: [Kuril Islands, hasMajorIsland, Ekarma]
-
A.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
-
B.
Yantra
Yantra is a major river in northern Bulgaria that flows through cities like Veliko Tarnovo before joining the Danube.
-
C.
Srutakarma
Srutakarma is a lesser-known figure in the Mahabharata, recognized as one of the sons of the Pandava hero Arjuna.
-
D.
Gudakesha
Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
-
E.
Swayam
Swayam is an Indian government-backed online learning platform that provides free Massive Open Online Courses (MOOCs) from schools, colleges, and universities across the country.
- 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: Ekarma Triple: [Kuril Islands, hasMajorIsland, Ekarma]
Generated description
Ekarma is an uninhabited volcanic island in the central Kuril Islands chain of the northwest Pacific Ocean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ekarma Target entity description: Ekarma is an uninhabited volcanic island in the central Kuril Islands chain of the northwest Pacific Ocean.
-
A.
Kesava
Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
-
B.
Yantra
Yantra is a major river in northern Bulgaria that flows through cities like Veliko Tarnovo before joining the Danube.
-
C.
Srutakarma
Srutakarma is a lesser-known figure in the Mahabharata, recognized as one of the sons of the Pandava hero Arjuna.
-
D.
Gudakesha
Gudakesha is an epithet of the warrior prince Arjuna from the Indian epic Mahabharata, highlighting his mastery over sleep and unwavering focus.
-
E.
Swayam
Swayam is an Indian government-backed online learning platform that provides free Massive Open Online Courses (MOOCs) from schools, colleges, and universities across the country.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5d16ec819088056167c88d3318 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a16badc8190b5b603db0ca738cb |
completed | March 7, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_69ac8b70bd888190bed944579237bfad |
completed | March 7, 2026, 8:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8bce4be48190b7e396d31e881450 |
completed | March 7, 2026, 8:34 p.m. |
Created at: March 1, 2026, 7:47 p.m.