Triple
T3676000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orbit |
E77992
|
entity |
| Predicate | hasImprintVariant |
P50255
|
FINISHED |
| Object | Orbit Australia |
E77992
|
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: Orbit Australia | Statement: [Orbit, hasImprintVariant, Orbit Australia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orbit Australia Context triple: [Orbit, hasImprintVariant, Orbit Australia]
-
A.
Orbit
chosen
Orbit is a publishing imprint best known for releasing science fiction and fantasy books.
-
B.
Orbit
Orbit is the fuzzy green alien mascot of the Houston Astros, known for his playful antics and fan-friendly entertainment at the team’s baseball games.
-
C.
Orbital
Orbital is a British electronic music duo known for their influential role in the 1990s rave and techno scenes and their complex, layered compositions.
-
D.
SOFIA
SOFIA is the Food and Agriculture Organization’s flagship biennial report that provides comprehensive analyses and statistics on the status, trends, and policy issues of global fisheries and aquaculture.
-
E.
Orbis
Orbis is Yale University Library’s online catalog system that provides access to its extensive collections of books, media, and other resources.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc462ffdc8190896e9f98f648e2f3 |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3a50d40819081aad0c72bcaee9d |
completed | March 14, 2026, 2:10 a.m. |
Created at: March 8, 2026, 3:25 p.m.