Triple
T11012512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kam language |
E260275
|
entity |
| Predicate | glottocode |
P3086
|
FINISHED |
| Object |
nort3180
nort3180 is the Glottolog code designating the Kam language, a minority language of China belonging to the Kam–Sui branch of the Tai–Kadai family.
|
E899586
|
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: nort3180 | Statement: [Kam language, glottocode, nort3180]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: nort3180 Context triple: [Kam language, glottocode, nort3180]
-
A.
NORD-500
NORD-500 was a Norwegian minicomputer system developed by Norsk Data in the late 1960s as an early member of their NORD series of computers.
-
B.
Nord 260
The Nord 260 was a French twin-turboprop regional airliner prototype that served as the basis for the later Aérospatiale N 262.
-
C.
Nordy
Nordy is the furry, wildcat-like official mascot of the NHL’s Minnesota Wild, known for entertaining fans at games and community events.
-
D.
Nortone
Nortone is an alternative spelling of the name Norton, which is used as both a surname and a place name in English-speaking regions.
-
E.
Noteć
Noteć is a major river in central-western Poland that flows through regions such as Greater Poland, serving as an important natural waterway and ecological corridor.
- 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: nort3180 Triple: [Kam language, glottocode, nort3180]
Generated description
nort3180 is the Glottolog code designating the Kam language, a minority language of China belonging to the Kam–Sui branch of the Tai–Kadai family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: nort3180 Target entity description: nort3180 is the Glottolog code designating the Kam language, a minority language of China belonging to the Kam–Sui branch of the Tai–Kadai family.
-
A.
NORD-500
NORD-500 was a Norwegian minicomputer system developed by Norsk Data in the late 1960s as an early member of their NORD series of computers.
-
B.
Nord 260
The Nord 260 was a French twin-turboprop regional airliner prototype that served as the basis for the later Aérospatiale N 262.
-
C.
Nordy
Nordy is the furry, wildcat-like official mascot of the NHL’s Minnesota Wild, known for entertaining fans at games and community events.
-
D.
Nortone
Nortone is an alternative spelling of the name Norton, which is used as both a surname and a place name in English-speaking regions.
-
E.
Noteć
Noteć is a major river in central-western Poland that flows through regions such as Greater Poland, serving as an important natural waterway and ecological corridor.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978a57a881909b4ceae0ebe21b78 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374ac78348190a8c0a5a7a736b24b |
completed | April 18, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_69e378df767c819099d0bfdf35eaf5f3 |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37bf526108190b5fc22569fe6be54 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:25 p.m.