Triple
T15839909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XSPEC |
E384073
|
entity |
| Predicate | supportsInstrument |
P12724
|
FINISHED |
| Object | Swift |
E313684
|
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: Swift | Statement: [XSPEC, supportsInstrument, Swift]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swift Context triple: [XSPEC, supportsInstrument, Swift]
-
A.
Swift
Swift is a line of thin-and-light consumer and productivity laptops produced by the Taiwanese computer manufacturer Acer.
-
B.
Swift
Swift is OpenStack’s distributed object storage system designed for scalable, fault-tolerant storage and retrieval of large amounts of unstructured data.
-
C.
Swift
Swift is the OpenStack object storage system designed for scalable, redundant, and distributed storage of large amounts of unstructured data.
-
D.
Swift
chosen
Swift is a NASA space telescope mission dedicated to detecting and rapidly observing gamma-ray bursts and other high-energy astrophysical phenomena.
-
E.
Swift
Swift is a British single-seat fighter aircraft developed in the early Cold War era, known for its swept-wing design and service with the Royal Air Force.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e69360819091ea0556bd66d785 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa13c931481908ed9fd10fddd867c |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:49 a.m.