Triple
T9712345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atril document viewer |
E235050
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Atril |
E721348
|
NE 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: Atril | Statement: [Atril document viewer, name, Atril]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atril Context triple: [Atril document viewer, name, Atril]
-
A.
Atril
chosen
Atril is a lightweight document viewer, primarily for PDF and PostScript files, used as part of the MATE desktop environment.
-
B.
Atripalda
Atripalda is a historic town in southern Italy’s Campania region, known for its archaeological remains and proximity to the city of Avellino.
-
C.
Agria
Agria is a coastal town in the Magnesia regional unit of Thessaly, Greece, near the city of Volos.
-
D.
Avlona
Avlona is the historical name of the coastal Albanian city now known as Vlora, an important port and cultural center on the Adriatic Sea.
-
E.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0705f8819095852263009c28c5 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f8c26dc8190a6fa21bde27ba6fa |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:19 p.m.