Triple
T25693102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamil Alvar poetry |
E644249
|
entity |
| Predicate | hasKeyCollection |
P426
|
FINISHED |
| Object | Nalayira Divya Prabandham |
—
|
NE NERFINISHED |
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: Nalayira Divya Prabandham | Statement: [Tamil Alvar poetry, hasKeyCollection, Nalayira Divya Prabandham]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyCollection Context triple: [Tamil Alvar poetry, hasKeyCollection, Nalayira Divya Prabandham]
-
A.
hasCollection
chosen
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
B.
hasKeyCol
Indicates that one entity serves as the key column (or set of key columns) used to uniquely identify or index records in another entity, such as a table or dataset.
-
C.
hasKeyStructure
Indicates that one entity possesses or defines the primary structural framework or core structural pattern of another entity.
-
D.
hasKeyGroup
Indicates that an entity is associated with a particular key group that governs or organizes its access, classification, or control.
-
E.
hasKeyElement
Indicates that one entity contains or depends on another entity that serves as a primary or essential component.
- 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_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 21, 2026, 8:30 p.m.