Triple
T8549258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akanānūru |
E202404
|
entity |
| Predicate | poeticCategory |
P83256
|
FINISHED |
| Object | akam (interior) poetry |
—
|
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: akam (interior) poetry | Statement: [Akanānūru, poeticCategory, akam (interior) poetry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poeticCategory Context triple: [Akanānūru, poeticCategory, akam (interior) poetry]
-
A.
poeticStyle
Indicates the stylistic or formal manner in which something is expressed in poetry, such as its structure, tone, and linguistic features.
-
B.
languageOfPoetry
Indicates that a specified language is the language in which a given piece of poetry is written or expressed.
-
C.
poem
Indicates that one entity is a poem created, authored, or associated with another entity.
-
D.
hasPoeticLyrics
Indicates that something (such as a song, text, or speech) contains lyrics or wording that are artistic, expressive, or characteristic of poetry.
-
E.
poet
Indicates that an entity creates poetry or is recognized for engaging in the activity of writing poems.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe753d3608190b0573477182cf194 |
completed | March 31, 2026, 3:25 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:19 p.m.