Triple
T9805087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KPRM |
E237934
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | KPRM |
E237934
|
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: KPRM | Statement: [KPRM, shortName, KPRM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KPRM Context triple: [KPRM, shortName, KPRM]
-
A.
KPRM
chosen
KPRM is the commonly used abbreviation for the Chancellery of the Prime Minister of Poland, the central office supporting the head of government.
-
B.
LKPR
LKPR is the ICAO airport code for Václav Havel Airport Prague, the main international airport serving Prague and the Czech Republic.
-
C.
KRP
KRP is the IATA airport code for Karup Airport, a regional airport in Denmark.
-
D.
BKPR
BKPR is the ICAO airport code for Pristina International Airport, the main international gateway to Kosovo.
-
E.
KPSM
KPSM is the ICAO code for Portsmouth International Airport at Pease, a joint civil-military airport located in Portsmouth, New Hampshire, USA.
- 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7b67748190ba16ce868f29d13e |
completed | April 1, 2026, 11:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c45878e481908aa2098eceb44256 |
completed | April 5, 2026, 2:09 a.m. |
Created at: March 30, 2026, 8:29 p.m.