Triple
T18870608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Монгол Ардын Нам |
E461555
|
entity |
| Predicate | hasSymbol |
P129
|
FINISHED |
| Object |
намын туг
намын туг нь Монгол Ардын Намыг төлөөлөх, түүний үзэл баримтлал, түүхэн уламжлалыг илэрхийлсэн албан ёсны туг юм.
|
E1346912
|
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: намын туг | Statement: [Монгол Ардын Нам, hasSymbol, намын туг]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: намын туг Context triple: [Монгол Ардын Нам, hasSymbol, намын туг]
-
A.
Tamins
Tamins is a municipality in the canton of Graubünden in eastern Switzerland, known for its location near the confluence of the Rhine rivers and its scenic Alpine surroundings.
-
B.
Magtymguly
Magtymguly is a town in western Turkmenistan located in the Balkan Region.
-
C.
NAM
NAM is a Dutch petroleum company historically responsible for natural gas extraction in the Groningen region, which has been linked to induced earthquakes there.
-
D.
NAM
NAM is the three-letter World Rugby country code used to represent the Namibia national rugby union team in international competitions and rankings.
-
E.
NAM
NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
- 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: намын туг Triple: [Монгол Ардын Нам, hasSymbol, намын туг]
Generated description
намын туг нь Монгол Ардын Намыг төлөөлөх, түүний үзэл баримтлал, түүхэн уламжлалыг илэрхийлсэн албан ёсны туг юм.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: намын туг Target entity description: намын туг нь Монгол Ардын Намыг төлөөлөх, түүний үзэл баримтлал, түүхэн уламжлалыг илэрхийлсэн албан ёсны туг юм.
-
A.
Tamins
Tamins is a municipality in the canton of Graubünden in eastern Switzerland, known for its location near the confluence of the Rhine rivers and its scenic Alpine surroundings.
-
B.
Magtymguly
Magtymguly is a town in western Turkmenistan located in the Balkan Region.
-
C.
NAM
NAM is a Dutch petroleum company historically responsible for natural gas extraction in the Groningen region, which has been linked to induced earthquakes there.
-
D.
NAM
NAM is the three-letter World Rugby country code used to represent the Namibia national rugby union team in international competitions and rankings.
-
E.
NAM
NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a8c8208190a3d709e96ebe184f |
completed | April 20, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575bd2ee48190ab4474a85385c551 |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a05796169a4819094b37d22dc9cb39a |
completed | May 14, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0579d6b0d48190a5d7afb334cb3658 |
completed | May 14, 2026, 7:29 a.m. |
Created at: April 10, 2026, 11:57 a.m.