Triple
T4078900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenlandian |
E87429
|
entity |
| Predicate | togetherWith |
P9047
|
FINISHED |
| Object | Northgrippian |
E87430
|
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: Northgrippian | Statement: [Greenlandian, togetherWith, Northgrippian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northgrippian Context triple: [Greenlandian, togetherWith, Northgrippian]
-
A.
Northgrippian
chosen
The Northgrippian is the middle age of the Holocene epoch, defined by a significant global cooling event that occurred around 4,200 years ago.
-
B.
Fluzão
Fluzão is a popular nickname for Fluminense Football Club, one of Brazil’s traditional Rio de Janeiro–based football teams.
-
C.
Loeffler
Loeffler is a German-origin surname borne by various notable individuals in fields such as sports, politics, and the arts.
-
D.
White Death
White Death is the infamous nickname of Finnish sniper Simo Häyhä, renowned for his extraordinary kill count during the Winter War between Finland and the Soviet Union.
-
E.
Koryazhma
Koryazhma is a small industrial town in northern Russia known for its large pulp and paper mill and location within Arkhangelsk Oblast.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc4e95b08190bd1ee8f6d3a9613c |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b5c2c948190a2548e26be3eedfd |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:39 p.m.