Triple
T19718994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Member for Personnel |
E473553
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | AMP |
—
|
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: AMP | Statement: [Air Member for Personnel, alsoKnownAs, AMP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMP Context triple: [Air Member for Personnel, alsoKnownAs, AMP]
-
A.
AMP
chosen
AMP is the abbreviated name for the Air Member for Personnel, a senior Royal Air Force appointment responsible for personnel and manpower matters.
-
B.
AMP
AMP (Accelerated Mobile Pages) is an open-source web component framework designed to create fast-loading, streamlined web pages, especially for mobile devices.
-
C.
ARAM
ARAM is a fast-paced League of Legends game mode where teams fight continuously on a single narrow bridge-like map with randomly assigned champions.
-
D.
ADS
ADS is a widely used digital library and search platform for astronomy and astrophysics research literature maintained by the Smithsonian Astrophysical Observatory and NASA.
-
E.
ADS
ADS is the stock ticker symbol under which the global sportswear company Adidas is traded on the Frankfurt Stock Exchange.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440f9dd88190bd15cf00f739dfb4 |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.