Triple
T788910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DD-412 |
E16866
|
entity |
| Predicate | class |
P87
|
FINISHED |
| Object | Sims class |
E6217
|
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: Sims class | Statement: [DD-412, class, Sims class]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sims class Context triple: [DD-412, class, Sims class]
-
A.
Sims class
chosen
The Sims class was a group of United States Navy destroyers built just before World War II that served extensively in the Atlantic and Pacific theaters.
-
B.
Odyssey Sims
Odyssey Sims is an American professional basketball guard known for her standout collegiate career at Baylor University and subsequent success in the WNBA.
-
C.
Class
Class is a British science fiction television series set in the Doctor Who universe, focusing on a group of students at Coal Hill Academy who face alien threats and personal challenges.
-
D.
Sprite
Sprite is a popular lemon-lime flavored soft drink known for its crisp, caffeine-free taste and global presence.
-
E.
Sind
Sind was a historical province in the northwest of the Indian subcontinent, centered around the lower Indus River and now largely corresponding to the Sindh region of modern-day Pakistan.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a782fe988190966b958673fe12bf |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6787eac608190acc40d56f827284e |
completed | March 3, 2026, 5:58 a.m. |
Created at: March 1, 2026, 7:38 p.m.