Triple
T25692983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tirumangai Alvar |
E644246
|
entity |
| Predicate | numberOfVersesComposed |
P32364
|
FINISHED |
| Object | over 1300 |
—
|
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: over 1300 | Statement: [Tirumangai Alvar, numberOfVersesComposed, over 1300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVersesComposed Context triple: [Tirumangai Alvar, numberOfVersesComposed, over 1300]
-
A.
hasVerseCount
Indicates that an entity (such as a text or section) is associated with a specific number of verses it contains.
-
B.
numberOfPoets
Indicates the quantity or count of poets associated with a given entity or context.
-
C.
containsNumberOfPoems
Indicates that one entity includes or specifies a particular quantity of poems associated with it.
-
D.
numberOfSonnets
Indicates the quantity of sonnets associated with a given entity.
-
E.
approximateNumberOfPoems
chosen
Indicates an estimated or roughly calculated count of poems associated with an entity.
- F. None of above.
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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: April 21, 2026, 8:30 p.m.