Triple
T15121347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorry |
E361178
|
entity |
| Predicate | certifyingBody |
P13210
|
FINISHED |
| Object | ARIA |
E856210
|
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: ARIA | Statement: [Sorry, certifyingBody, ARIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARIA Context triple: [Sorry, certifyingBody, ARIA]
-
A.
ARIA
chosen
ARIA (Accessible Rich Internet Applications) is a W3C specification that defines ways to make web content and applications more accessible to people with disabilities by adding semantic information to HTML.
-
B.
Aria
Aria is an adult film in which actress Bridget Fonda made her debut in explicit cinema.
-
C.
Aria
Aria is a crash-safe, transactional storage engine used in MariaDB for efficient handling of complex queries and temporary tables.
-
D.
Aria
Aria is a popular song by Italian rock singer-songwriter Gianna Nannini.
-
E.
ARA
ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7f4abd08190b47c9daff2921919 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.