Triple
T2651753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epic Pass |
E53914
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Epic Military Pass |
E53914
|
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: Epic Military Pass | Statement: [Epic Pass, hasVariant, Epic Military Pass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epic Military Pass Context triple: [Epic Pass, hasVariant, Epic Military Pass]
-
A.
Epic Pass
chosen
Epic Pass is a season-long ski and snowboard pass that provides access to a large network of Vail Resorts–owned and partner mountains worldwide.
-
B.
Companion Pass
Companion Pass is Southwest Airlines’ top Rapid Rewards benefit that lets a designated companion fly with you for only taxes and fees on both paid and award tickets.
-
C.
Via Militaris
Via Militaris was a major ancient Roman military and trade road that connected central Europe with the Balkans and the eastern provinces.
-
D.
Battleground
"Battleground" is a World War II drama film written by Paul Vogel that follows a besieged American infantry unit during the Battle of the Bulge.
-
E.
Army Strong
Army Strong is a former U.S. Army recruiting slogan emphasizing the physical, mental, and emotional strength of soldiers.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd93071248190820197936e3167f7 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98ce81fc8190b7c6c66acfcb87c7 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.