Triple
T1899315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Dutch Mint |
E37655
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
KNM
KNM is the abbreviated name commonly used for the Royal Dutch Mint, the official institution responsible for producing Dutch coins and medals.
|
E212483
|
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: KNM | Statement: [Royal Dutch Mint, shortName, KNM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KNM Context triple: [Royal Dutch Mint, shortName, KNM]
-
A.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
-
B.
Kisi
Kisi is an indigenous Georgian white grape variety from the Kakheti region, known for producing aromatic, full-bodied wines often made in traditional qvevri.
-
C.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
-
D.
Kwate-tu-Kwage
Kwate-tu-Kwage is a village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
-
E.
Kiamu
Kiamu is a dialect of the Swahili language traditionally spoken in the Lamu (Amu) region of Kenya.
- 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: KNM Triple: [Royal Dutch Mint, shortName, KNM]
Generated description
KNM is the abbreviated name commonly used for the Royal Dutch Mint, the official institution responsible for producing Dutch coins and medals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KNM Target entity description: KNM is the abbreviated name commonly used for the Royal Dutch Mint, the official institution responsible for producing Dutch coins and medals.
-
A.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
-
B.
Kisi
Kisi is an indigenous Georgian white grape variety from the Kakheti region, known for producing aromatic, full-bodied wines often made in traditional qvevri.
-
C.
Kamen
Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
-
D.
Kwate-tu-Kwage
Kwate-tu-Kwage is a village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
-
E.
Kiamu
Kiamu is a dialect of the Swahili language traditionally spoken in the Lamu (Amu) region of Kenya.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb17181b0819090683c55fd1352cb |
completed | March 7, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaf08708819091566511228d8ec8 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adec0ef72481908ecc3c3383e25d3b |
completed | March 8, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adec8b0600819086a13abd47f0438d |
completed | March 8, 2026, 9:39 p.m. |
Created at: March 4, 2026, 7:35 p.m.