Triple
T3288087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ultra-Trail du Mont-Blanc |
E69033
|
entity |
| Predicate | hasAssociatedRace |
P47742
|
FINISHED |
| Object |
YCC
YCC is a youth-focused trail running race held as part of the Ultra-Trail du Mont-Blanc event series.
|
E345595
|
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: YCC | Statement: [Ultra-Trail du Mont-Blanc, hasAssociatedRace, YCC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YCC Context triple: [Ultra-Trail du Mont-Blanc, hasAssociatedRace, YCC]
-
A.
YC
YC is the IATA airline designator assigned to Yamal Airlines, a Russian regional carrier based in the Yamalo-Nenets Autonomous Okrug.
-
B.
YUC
YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
-
C.
YCU
YCU is the commonly used abbreviation for Yokohama City University, a public research university located in Yokohama, Japan.
-
D.
CY
CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
-
E.
YV
YV is the IATA airline designator used to identify Mesa Airlines in flight schedules and ticketing systems.
- 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: YCC Triple: [Ultra-Trail du Mont-Blanc, hasAssociatedRace, YCC]
Generated description
YCC is a youth-focused trail running race held as part of the Ultra-Trail du Mont-Blanc event series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YCC Target entity description: YCC is a youth-focused trail running race held as part of the Ultra-Trail du Mont-Blanc event series.
-
A.
YC
YC is the IATA airline designator assigned to Yamal Airlines, a Russian regional carrier based in the Yamalo-Nenets Autonomous Okrug.
-
B.
YUC
YUC is the official vehicle registration code used on license plates for the Mexican state of Yucatán.
-
C.
YCU
YCU is the commonly used abbreviation for Yokohama City University, a public research university located in Yokohama, Japan.
-
D.
CY
CY is the two-letter ISO 3166-1 alpha-2 country code assigned to Cyprus for international standardization and identification purposes.
-
E.
YV
YV is the IATA airline designator used to identify Mesa Airlines in flight schedules and ticketing systems.
- 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.