Triple
T11000791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ePOP |
E259997
|
entity |
| Predicate | aboard |
P12804
|
FINISHED |
| Object | CASSIOPE |
E46129
|
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: CASSIOPE | Statement: [ePOP, aboard, CASSIOPE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CASSIOPE Context triple: [ePOP, aboard, CASSIOPE]
-
A.
CASSIOPE
chosen
CASSIOPE is a Canadian multi-purpose satellite that combines scientific research of Earth’s upper atmosphere with a commercial communications payload.
-
B.
Asteria
Asteria is a figure in Greek mythology, a Titaness associated with falling stars and nocturnal divination.
-
C.
Clelia
Clelia is an Italian feminine given name of Latin origin, historically associated with the legendary Roman heroine Cloelia.
-
D.
Cassope
Cassope is an ancient Greek city in the region of Epirus, known for its well-preserved Hellenistic urban remains and panoramic hilltop location.
-
E.
Arsacia
Arsacia is an alternative name historically used for the city of Rayy (near modern-day Tehran) in ancient Persia.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d68b608190a8d016b9383e82f8 |
completed | April 9, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3453d181081908cb58a957f4d1295 |
completed | April 18, 2026, 8:47 a.m. |
Created at: April 8, 2026, 9:25 p.m.