Triple
T16081863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurussia |
E390128
|
entity |
| Predicate | containsTerranesFrom |
P121816
|
FINISHED |
| Object | Avalonia |
E147213
|
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: Avalonia | Statement: [Laurussia, containsTerranesFrom, Avalonia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avalonia Context triple: [Laurussia, containsTerranesFrom, Avalonia]
-
A.
Avalonia
chosen
Avalonia was a Paleozoic microcontinent that rifted from Gondwana and later collided with Laurentia and Baltica, helping to form parts of present-day Europe and North America.
-
B.
Enyo
Enyo is a Greek goddess of war and destruction, often depicted as a close companion and counterpart to the war god Ares.
-
C.
Sinixt
The Sinixt are an Indigenous First Nations people of the Interior Plateau region of what is now British Columbia, Canada and northeastern Washington State, with a distinct Salishan language and culture.
-
D.
Apphia
Apphia is a Christian woman mentioned in the New Testament as one of the recipients of Paul’s Epistle to Philemon, traditionally thought to be a member of Philemon’s household, possibly his wife.
-
E.
Avelia
Avelia is a family of high-speed trainsets developed by Alstom and used in various advanced rail networks around the world.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e21a00f6808190a60939ef7ce727a7 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb917b008190b1680b347cfa0892 |
completed | May 10, 2026, 2:21 a.m. |
Created at: April 10, 2026, 4:57 a.m.