Triple
T17951849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakshatras |
E448848
|
entity |
| Predicate | systemIncludes |
P1393
|
FINISHED |
| Object |
Vishakha
Vishakha is a lunar mansion (nakshatra) in Vedic astrology, associated with determination, ambition, and the pursuit of goals.
|
E1298937
|
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: Vishakha | Statement: [Nakshatras, systemIncludes, Vishakha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vishakha Context triple: [Nakshatras, systemIncludes, Vishakha]
-
A.
Vishakha
Vishakha is a celebrated Marathi poetry collection by Vishnu Vaman Shirwadkar (Kusumagraj), renowned for its lyrical depth and humanistic themes.
-
B.
Vishakha
Vishakha is one of the principal gopis in Hindu devotional tradition, revered as a close companion and intimate devotee of Lord Krishna and Radha.
-
C.
Bhawana
Bhawana is a town and administrative center located in the Chiniot District of Punjab, Pakistan.
-
D.
Mamta
Mamta is a classic 1966 Hindi drama film starring Suchitra Sen, known for its emotional story of sacrifice and maternal love.
-
E.
Bhargavi
Bhargavi was an Indian woman known primarily as the first wife of iconic Tamil actor and politician M. G. Ramachandran.
- 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: Vishakha Triple: [Nakshatras, systemIncludes, Vishakha]
Generated description
Vishakha is a lunar mansion (nakshatra) in Vedic astrology, associated with determination, ambition, and the pursuit of goals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vishakha Target entity description: Vishakha is a lunar mansion (nakshatra) in Vedic astrology, associated with determination, ambition, and the pursuit of goals.
-
A.
Vishakha
Vishakha is a celebrated Marathi poetry collection by Vishnu Vaman Shirwadkar (Kusumagraj), renowned for its lyrical depth and humanistic themes.
-
B.
Vishakha
Vishakha is one of the principal gopis in Hindu devotional tradition, revered as a close companion and intimate devotee of Lord Krishna and Radha.
-
C.
Bhawana
Bhawana is a town and administrative center located in the Chiniot District of Punjab, Pakistan.
-
D.
Mamta
Mamta is a classic 1966 Hindi drama film starring Suchitra Sen, known for its emotional story of sacrifice and maternal love.
-
E.
Bhargavi
Bhargavi was an Indian woman known primarily as the first wife of iconic Tamil actor and politician M. G. Ramachandran.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afad61f481908b34cd24de88983c |
completed | April 19, 2026, 10:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0330099eb48190ae81eeceed035c48 |
completed | May 12, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a03310fd4608190b8c23df661ddc2ad |
completed | May 12, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03330f373c81908bb2418dfbeec74f |
completed | May 12, 2026, 2:02 p.m. |
Created at: April 10, 2026, 10:21 a.m.