Triple
T10188273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PQ convoys |
E236966
|
entity |
| Predicate | destinationPort |
P1763
|
FINISHED |
| Object | Archangel |
E42307
|
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: Archangel | Statement: [PQ convoys, destinationPort, Archangel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Archangel Context triple: [PQ convoys, destinationPort, Archangel]
-
A.
Archangel
chosen
Archangel is a historic Russian port city on the White Sea that served as a major northern gateway for European trade before the rise of St. Petersburg.
-
B.
Archangel
Archangel is a historical fiction collection by Andrea Barrett that intertwines science, war, and personal relationships in early 20th-century settings.
-
C.
Arkangel
Arkangel is an episode of the dystopian anthology series "Black Mirror" that explores parental overprotection through invasive surveillance technology implanted in a child.
-
D.
Artangel
Artangel is a London-based arts organization known for producing ambitious, site-specific and often socially engaged contemporary art projects.
-
E.
Arcángel
Arcángel is a Puerto Rican-American reggaeton and Latin trap singer and songwriter known for his influential role in the urban Latin music scene.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7c3278819093312665b54d888c |
completed | April 2, 2026, 4:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317b734a4819085645caea8ba0481 |
completed | April 6, 2026, 2:17 a.m. |
Created at: March 30, 2026, 9:12 p.m.