Triple
T19707808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naraka Chaturdashi |
E473259
|
entity |
| Predicate | lightingOfLampsSignifies |
P137028
|
FINISHED |
| Object | dispel of spiritual darkness |
—
|
LITERAL 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: dispel of spiritual darkness | Statement: [Naraka Chaturdashi, lightingOfLampsSignifies, dispel of spiritual darkness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightingOfLampsSignifies Context triple: [Naraka Chaturdashi, lightingOfLampsSignifies, dispel of spiritual darkness]
-
A.
lighthouseColor
Indicates the color attribute associated with a lighthouse.
-
B.
numberOfLights
Indicates the quantity of lights associated with or present on a given entity.
-
C.
lampPower
Indicates the power rating or electrical wattage associated with a lamp.
-
D.
typeOfLampsUsed
Indicates the specific kinds or categories of lamps that are utilized in a given context or system.
-
E.
lightingTime
Indicates the time at which a lighting event or illumination occurs or is scheduled.
- F. None of above. chosen
Provenance (4 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642bc754481908bdf5bfad069aec8 |
completed | April 20, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.