Triple
T22321383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bardhaman district |
E551794
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Ausgram
Ausgram is a rural area and administrative block in the Bardhaman region of West Bengal, India, known for its agrarian landscape and village settlements.
|
E1531076
|
NE FINISHED |
How this triple was built (4 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: Ausgram | Statement: [Bardhaman district, contains, Ausgram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ausgram Context triple: [Bardhaman district, contains, Ausgram]
-
A.
Byrum
Byrum is the main town and administrative center of the Danish island municipality of Læsø in the Kattegat.
-
B.
Aramm
Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
-
C.
Fager
Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
-
D.
Grunnegs
Grunnegs is the local endonym for the Gronings dialect of Low Saxon spoken in the Dutch province of Groningen and surrounding areas.
-
E.
Grocka
Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ausgram Triple: [Bardhaman district, contains, Ausgram]
Generated description
Ausgram is a rural area and administrative block in the Bardhaman region of West Bengal, India, known for its agrarian landscape and village settlements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ausgram Target entity description: Ausgram is a rural area and administrative block in the Bardhaman region of West Bengal, India, known for its agrarian landscape and village settlements.
-
A.
Byrum
Byrum is the main town and administrative center of the Danish island municipality of Læsø in the Kattegat.
-
B.
Aramm
Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
-
C.
Fager
Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
-
D.
Grunnegs
Grunnegs is the local endonym for the Gronings dialect of Low Saxon spoken in the Dutch province of Groningen and surrounding areas.
-
E.
Grocka
Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
- F. None of above. chosen
Provenance (5 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15764d3a48190af79ce4642b7f563 |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad51a87688190ad638880953172c7 |
completed | May 18, 2026, 9 a.m. |
| NEDg | Description generation | batch_6a0ad992b43c8190b0e409d64db83308 |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0adac48bec8190989dd7c5e28d283a |
completed | May 18, 2026, 9:24 a.m. |
Created at: April 16, 2026, 8:42 p.m.