Triple
T5681020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aṣṭādhyāyī |
E125198
|
entity |
| Predicate | numberOfSutras |
P65735
|
FINISHED |
| Object | approximately 4000 |
—
|
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: approximately 4000 | Statement: [Aṣṭādhyāyī, numberOfSutras, approximately 4000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSutras Context triple: [Aṣṭādhyāyī, numberOfSutras, approximately 4000]
-
A.
numberOfSkandhas
Indicates the relationship that specifies how many skandhas (aggregates) are associated with a given entity or concept.
-
B.
numberOfTractates
Indicates the total count of tractates associated with a given entity or collection.
-
C.
numberOfGurus
Indicates the quantity or count of gurus associated with a given entity or context.
-
D.
numberOfTirthankaras
Indicates the specific count of Tirthankaras associated with or attributed to an entity.
-
E.
numberOfOpenworkStupas
Indicates the count of openwork stupas associated with or present at a given subject.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:44 p.m.