Triple
T26976200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Clay Bird |
E679462
|
entity |
| Predicate | hasTitleInBengali |
P76566
|
FINISHED |
| Object | Matir Moina |
—
|
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: Matir Moina | Statement: [The Clay Bird, hasTitleInBengali, Matir Moina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInBengali Context triple: [The Clay Bird, hasTitleInBengali, Matir Moina]
-
A.
titleInBengaliScript
chosen
Indicates that the title of an entity is written or represented in the Bengali script.
-
B.
titleInSanskritScript
Indicates that the title of an entity is expressed using the Sanskrit writing system.
-
C.
hasTitleInTransliteration
Indicates that an entity has a specific title represented in a transliterated form from another writing system.
-
D.
HindiTitle
Indicates that one entity serves as the Hindi-language title or name for another entity.
-
E.
hasTitleInEnglishOrthography
Indicates that an entity has a specific title expressed using English spelling and writing conventions.
- 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_69eeeb507a7081909d516e1fa08b7d29 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 27, 2026, 6:42 a.m.