Triple
T10254112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knight Companion of the New Zealand Order of Merit |
E240418
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
KNZM
KNZM is the post-nominal title used by individuals appointed as Knights Companion of the New Zealand Order of Merit, one of New Zealand’s principal honours.
|
E850881
|
NE FINISHED |
How this triple was built (4 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: KNZM | Statement: [Knight Companion of the New Zealand Order of Merit, abbreviation, KNZM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KNZM Context triple: [Knight Companion of the New Zealand Order of Merit, abbreviation, KNZM]
-
A.
KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
-
B.
KNO
KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
-
C.
KZT
KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
-
D.
KNF
KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
-
E.
KM
KM is the stock ticker symbol formerly used to represent Kmart Corporation, a major American discount department store chain.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KNZM Triple: [Knight Companion of the New Zealand Order of Merit, abbreviation, KNZM]
Generated description
KNZM is the post-nominal title used by individuals appointed as Knights Companion of the New Zealand Order of Merit, one of New Zealand’s principal honours.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KNZM Target entity description: KNZM is the post-nominal title used by individuals appointed as Knights Companion of the New Zealand Order of Merit, one of New Zealand’s principal honours.
-
A.
KZ
KZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Kazakhstan for international standardization and identification.
-
B.
KNO
KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
-
C.
KZT
KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
-
D.
KNF
KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
-
E.
KM
KM is the stock ticker symbol formerly used to represent Kmart Corporation, a major American discount department store chain.
- F. None of above. chosen
Provenance (5 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d24b9a308190bba6d8e3e22e5ee0 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7cec62c819083e493e0fc7c65b5 |
completed | April 9, 2026, 12:50 a.m. |
| NEDg | Description generation | batch_69d6fa3149e48190825600ee28ed7231 |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcbee9088190869b1fcb6f909be3 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:30 a.m.