Triple
T18817707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACSIS |
E460180
|
entity |
| Predicate | supportsInstrument |
P12724
|
FINISHED |
| Object | HARP |
—
|
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: HARP | Statement: [ACSIS, supportsInstrument, HARP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HARP Context triple: [ACSIS, supportsInstrument, HARP]
-
A.
HARP
chosen
HARP is a submillimetre heterodyne array receiver used on the James Clerk Maxwell Telescope for high-resolution spectral observations of cold gas in space.
-
B.
HAMP
HAMP is a U.S. government initiative launched after the 2008 financial crisis to help struggling homeowners avoid foreclosure by modifying their mortgage loans to more affordable terms.
-
C.
HAP
HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
-
D.
HARV
HARV is the standard abbreviation used for the Harvard Crimson men's basketball team in collegiate athletics contexts.
-
E.
HASP
HASP (Houston Automatic Spooling Priority) was an early IBM mainframe job entry and spooling system that managed batch workloads and printer output, serving as a foundation for later systems like JES2.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6b7e75c81909bc65cfc61cbe1c6 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 10, 2026, 11:55 a.m.