Triple
T8923587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KNM |
E212483
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | KNM |
E212483
|
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: KNM | Statement: [KNM, hasAbbreviation, KNM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KNM Context triple: [KNM, hasAbbreviation, KNM]
-
A.
KNM
chosen
KNM is the abbreviated name commonly used for the Royal Dutch Mint, the official institution responsible for producing Dutch coins and medals.
-
B.
KNM Ula
KNM Ula is a Royal Norwegian Navy diesel-electric attack submarine that serves as the lead boat of Norway’s modern Ula-class fleet.
-
C.
KHM
KHM is the commonly used abbreviation for the Kunsthistorisches Museum, a major art and cultural history museum in Vienna, Austria.
-
D.
Knema
Knema is a genus of tropical evergreen trees in the nutmeg family (Myristicaceae), native mainly to Southeast Asia and valued for their aromatic seeds and timber.
-
E.
Koman
Koman is a small language family of northeastern Africa whose member languages are spoken primarily in border regions of Ethiopia and Sudan.
- 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_69ca839481d48190b42b037e0d0f636c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6652d63881908821c8735984322a |
completed | April 1, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba5480d48190bf126caaa882d39e |
completed | April 3, 2026, 1:02 p.m. |
Created at: March 30, 2026, 6:56 p.m.