Triple
T5230254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mir |
E118091
|
entity |
| Predicate | module |
P29649
|
FINISHED |
| Object | Spektr |
E323085
|
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: Spektr | Statement: [Mir, module, Spektr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spektr Context triple: [Mir, module, Spektr]
-
A.
Spektr
chosen
Spektr was a Russian-built science module of the Mir space station, primarily used for Earth observation and housing U.S. research equipment during the Shuttle–Mir program.
-
B.
Spek
Spek is a Canadian rapper and producer known for his work in the 1990s and early 2000s underground hip hop scene.
-
C.
Spectrum
Spectrum is a major American telecommunications brand providing cable television, internet, and phone services, owned by Charter Communications.
-
D.
Spectrum
Spectrum was a historic indoor sports and entertainment arena in Philadelphia that hosted professional hockey, basketball, concerts, and major events from the late 1960s until its closure and demolition.
-
E.
SPECTRA
SPECTRA is an advanced integrated electronic warfare and self-protection suite used on modern combat aircraft, notably the Dassault Rafale, to detect, jam, and counter threats.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ae006ec8190abd23f650ca5bf53 |
completed | March 20, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef810d6108190b2b2067cce12955b |
completed | March 21, 2026, 7:57 p.m. |
Created at: March 20, 2026, 1:48 p.m.