Triple
T933007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samkhya |
E20134
|
entity |
| Predicate | hasText |
P7166
|
FINISHED |
| Object |
Yuktidipika
Yuktidipika is an important early commentary that elucidates and defends the philosophical doctrines of the classical Indian Sāṃkhya system.
|
E109361
|
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: Yuktidipika | Statement: [Samkhya, hasText, Yuktidipika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yuktidipika Context triple: [Samkhya, hasText, Yuktidipika]
-
A.
Yoogali
Yoogali is a small town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and proximity to the city of Griffith.
-
B.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
-
C.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
-
D.
Alupka
Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
-
E.
Kykuit
Kykuit is a historic Rockefeller family estate and grand mansion known for its architecture, art collections, and landscaped gardens overlooking the Hudson River in New York.
- 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: Yuktidipika Triple: [Samkhya, hasText, Yuktidipika]
Generated description
Yuktidipika is an important early commentary that elucidates and defends the philosophical doctrines of the classical Indian Sāṃkhya system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yuktidipika Target entity description: Yuktidipika is an important early commentary that elucidates and defends the philosophical doctrines of the classical Indian Sāṃkhya system.
-
A.
Yoogali
Yoogali is a small town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and proximity to the city of Griffith.
-
B.
Thari
Thari is a regional dialect of the Sindhi language spoken primarily in the Thar Desert region of Pakistan and India.
-
C.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
-
D.
Alupka
Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
-
E.
Kykuit
Kykuit is a historic Rockefeller family estate and grand mansion known for its architecture, art collections, and landscaped gardens overlooking the Hudson River in New York.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3627ccc8190a836515b2ea85ec5 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee12da388190a26f0f7944d6f5f8 |
completed | March 4, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69a7f12e48f88190bd0aac156a76f0b9 |
completed | March 4, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7f1a2688881908524f10350137f4f |
completed | March 4, 2026, 8:47 a.m. |
Created at: March 1, 2026, 7:40 p.m.