Triple
T7603833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 33rd Fighter Wing |
E180050
|
entity |
| Predicate | motto |
P42
|
FINISHED |
| Object | Nomads |
E676104
|
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: Nomads | Statement: [33rd Fighter Wing, motto, Nomads]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nomads Context triple: [33rd Fighter Wing, motto, Nomads]
-
A.
Nomads
chosen
Nomads is the nickname of the U.S. Air Force’s 33rd Fighter Wing, a unit historically known for operating advanced fighter aircraft and training combat-ready pilots.
-
B.
Nomad
Nomad is a powerful space probe from the Star Trek universe that, after a catastrophic encounter in space, merges with another machine and becomes a dangerously self-directed, planet-threatening entity.
-
C.
Nomada
Nomada is a large genus of cleptoparasitic “cuckoo bees” known for laying their eggs in the nests of other solitary bees.
-
D.
Desert Saints
Desert Saints is a 2002 crime thriller film centered on a ruthless hitman whose latest assignment is complicated when he becomes involved with a mysterious woman.
-
E.
Vagos
Vagos is a coastal municipality in central Portugal known for its beaches, dunes, and integration into the Aveiro region’s lagoon landscape.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fbd1408190b721bf016f997c7b |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870858c648190acbbad9b5bb12ba4 |
completed | March 29, 2026, 12:21 a.m. |
Created at: March 27, 2026, 3:54 p.m.