Triple
T19549065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulysses |
E489150
|
entity |
| Predicate | communicationBand |
P1685
|
FINISHED |
| Object | X-band |
—
|
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: X-band | Statement: [Ulysses, communicationBand, X-band]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: X-band Context triple: [Ulysses, communicationBand, X-band]
-
A.
X-band
chosen
X-band is a segment of the microwave radio spectrum commonly used for deep-space communications, radar, and satellite links.
-
B.
S-band
S-band is a segment of the microwave radio spectrum commonly used for satellite communications, deep space telemetry, and radar applications.
-
C.
Ku-band
Ku-band is a segment of the microwave radio spectrum commonly used for satellite communications, including television broadcasting, data links, and VSAT networks.
-
D.
UHF
UHF is a 1989 cult comedy film starring "Weird Al" Yankovic as a daydreaming misfit who turns a failing UHF television station into a bizarre hit.
-
E.
E-band systems
E-band systems are high-frequency millimeter-wave communication platforms operating roughly in the 60–90 GHz range, commonly used for high-capacity wireless backhaul and point-to-point links.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2f39188190976e8b6b111499a0 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.