Triple
T3288086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ultra-Trail du Mont-Blanc |
E69033
|
entity |
| Predicate | hasAssociatedRace |
P47742
|
FINISHED |
| Object |
MCC
MCC is one of the shorter companion races of the Ultra-Trail du Mont-Blanc trail-running event, typically designed for newer trail runners and local participants.
|
E345594
|
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: MCC | Statement: [Ultra-Trail du Mont-Blanc, hasAssociatedRace, MCC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MCC Context triple: [Ultra-Trail du Mont-Blanc, hasAssociatedRace, MCC]
-
A.
MCC
MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
-
B.
MCC
MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
-
C.
MCD
MCD is a system of urban and suburban commuter rail lines in Moscow designed to function like an express metro, connecting the city with its surrounding regions.
-
D.
MCA
MCA is the UK government executive agency responsible for maritime safety, search and rescue coordination, and preventing pollution from ships in UK waters.
-
E.
MCA
MCA is a prominent Algerian football club based in Algiers, officially known as Mouloudia Club d'Alger.
- 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: MCC Triple: [Ultra-Trail du Mont-Blanc, hasAssociatedRace, MCC]
Generated description
MCC is one of the shorter companion races of the Ultra-Trail du Mont-Blanc trail-running event, typically designed for newer trail runners and local participants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MCC Target entity description: MCC is one of the shorter companion races of the Ultra-Trail du Mont-Blanc trail-running event, typically designed for newer trail runners and local participants.
-
A.
MCC
MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
-
B.
MCC
MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
-
C.
MCD
MCD is a system of urban and suburban commuter rail lines in Moscow designed to function like an express metro, connecting the city with its surrounding regions.
-
D.
MCA
MCA is the UK government executive agency responsible for maritime safety, search and rescue coordination, and preventing pollution from ships in UK waters.
-
E.
MCA
MCA is a prominent Algerian football club based in Algiers, officially known as Mouloudia Club d'Alger.
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb058e00881908fdf0a23208860d4 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e85f71508190b194b4d383d7ee32 |
completed | March 12, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69b2e8d165488190bdb6c07257f7502a |
completed | March 12, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2ecfd3c20819089bc0b2141aee8eb |
completed | March 12, 2026, 4:42 p.m. |
Created at: March 8, 2026, 3:10 p.m.