Triple
T27189940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pancha Siddhantika |
E683445
|
entity |
| Predicate | numberOfSystemsDescribed |
P197696
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Pancha Siddhantika, numberOfSystemsDescribed, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSystemsDescribed Context triple: [Pancha Siddhantika, numberOfSystemsDescribed, 5]
-
A.
modelsSystemsWith
Indicates that one entity creates or uses a representation or abstraction to describe, analyze, or simulate another system.
-
B.
numberDescribedAs
Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
-
C.
numberOfCircuitsInSystem
Indicates the total count of circuits that exist within a given system.
-
D.
numberOfSpecies
Indicates the count of distinct species associated with a given entity or context.
-
E.
hasNumberOfFeaturesDescribed
Indicates that an entity is associated with a specific count of its features that have been described.
- 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_69eefad140408190b8586fdebcf9af46 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
| PDg | Predicate description generation | batch_69fea2cfcd648190a15e5b90889095b1 |
completed | May 9, 2026, 2:58 a.m. |
Created at: April 27, 2026, 9:32 a.m.