Triple
T5106501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shanku Yantra |
E115107
|
entity |
| Predicate | observes |
P134
|
FINISHED |
| Object | Sun |
E3186
|
NE FINISHED |
How this triple was built (2 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: Sun | Statement: [Shanku Yantra, observes, Sun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sun Context triple: [Shanku Yantra, observes, Sun]
-
A.
Sun
chosen
The Sun is the massive, luminous star at the center of our solar system that provides the light and heat necessary for life on Earth.
-
B.
The Sun
The Sun is a British tabloid newspaper known for its sensationalist journalism, celebrity gossip, and large circulation.
-
C.
The Sun
The Sun is a vibrant, monumental painting by Norwegian artist Edvard Munch that depicts a radiant, dominating sun over a coastal landscape, symbolizing life, energy, and renewal.
-
D.
SUN
SUN is the National Rail station code for Sunderland railway station in Tyne and Wear, England.
-
E.
Surya
Surya is the Hindu sun god revered as a major solar deity associated with light, power, and vitality.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75a7c6748190b02b7c2b617c830f |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba95dbd48190a7d87f3af77424e0 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:41 p.m.