Triple
T5126349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nāṭyaśāstra |
E115593
|
entity |
| Predicate | definesNumberOfRasas |
P62671
|
FINISHED |
| Object | eight |
—
|
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: eight | Statement: [Nāṭyaśāstra, definesNumberOfRasas, eight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesNumberOfRasas Context triple: [Nāṭyaśāstra, definesNumberOfRasas, eight]
-
A.
numberOfRukus
Indicates the quantity or count of distinct "Rukus" associated with or involved in a given entity or situation.
-
B.
definesNumberOfPatterns
Indicates that an entity specifies or determines how many distinct patterns are involved or allowed in a given context.
-
C.
hasApproximateNumberOfVarieties
Indicates that an entity is associated with an estimated or non-exact count of different varieties or types.
-
D.
numberOfIndicators
Indicates the total count of indicators associated with or relevant to a given entity or context.
-
E.
numberOfRakats
Indicates the specific count of prayer units (rakats) associated with a given prayer or ritual act.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7d5a23908190a24e79d1b29d6fcf |
completed | March 20, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69bd77aa68b88190a50dd736a72d2901 |
completed | March 20, 2026, 4:36 p.m. |
| PDg | Predicate description generation | batch_69bd7d5906d88190b805977e5a05767a |
completed | March 20, 2026, 5:01 p.m. |
Created at: March 20, 2026, 1:42 p.m.