Triple
T21070124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminus |
E519081
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Terminus |
—
|
NE NERFINISHED |
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: Terminus | Statement: [Terminus, hasTitle, Terminus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminus Context triple: [Terminus, hasTitle, Terminus]
-
A.
Terminus
Terminus is the final installment of the French post-apocalyptic graphic novel series "Le Transperceneige," continuing its bleak exploration of class struggle aboard a perpetually moving train.
-
B.
Terminus
Terminus was the original 19th-century name for the settlement that later became the city of Atlanta, Georgia.
-
C.
Terminus
"Terminus" is a poem by Seamus Heaney, featured in his collection *The Haw Lantern*, that reflects on themes of borders, identity, and historical division.
-
D.
Terminus
Terminus is the remote frontier planet that serves as the capital of the Foundation in Isaac Asimov’s science fiction series.
-
E.
Terminus
Terminus is the Roman god who presides over boundaries and boundary markers, symbolizing the protection and sanctity of property lines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb7b1d081909363c8bff785164b |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:46 p.m.