Triple
T17300104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alinghi |
E420017
|
entity |
| Predicate | notableBoat |
P3345
|
FINISHED |
| Object |
SUI-100
SUI-100 is a high-performance America's Cup Class racing yacht campaigned by the Swiss sailing team Alinghi in elite international sailing competitions.
|
E1262335
|
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: SUI-100 | Statement: [Alinghi, notableBoat, SUI-100]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SUI-100 Context triple: [Alinghi, notableBoat, SUI-100]
-
A.
S-101
S-101 is the International Hydrographic Organization’s modern electronic navigational chart standard designed to support next-generation marine navigation systems.
-
B.
S-102
S-102 is an IHO S-100 series standard that defines high-resolution bathymetric surface data for use in modern electronic navigation and marine applications.
-
C.
U-SU
U-SU is the student union organization representing and serving university students through advocacy, events, and campus services.
-
D.
S-104
S-104 is an IHO product specification that defines standards for digital water level information to support safe and efficient surface navigation.
-
E.
Saihat
Saihat is a coastal city in Saudi Arabia’s Eastern Province, known for its fishing heritage and proximity to major oil and industrial centers in the Gulf region.
- 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: SUI-100 Triple: [Alinghi, notableBoat, SUI-100]
Generated description
SUI-100 is a high-performance America's Cup Class racing yacht campaigned by the Swiss sailing team Alinghi in elite international sailing competitions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SUI-100 Target entity description: SUI-100 is a high-performance America's Cup Class racing yacht campaigned by the Swiss sailing team Alinghi in elite international sailing competitions.
-
A.
S-101
S-101 is the International Hydrographic Organization’s modern electronic navigational chart standard designed to support next-generation marine navigation systems.
-
B.
S-102
S-102 is an IHO S-100 series standard that defines high-resolution bathymetric surface data for use in modern electronic navigation and marine applications.
-
C.
U-SU
U-SU is the student union organization representing and serving university students through advocacy, events, and campus services.
-
D.
S-104
S-104 is an IHO product specification that defines standards for digital water level information to support safe and efficient surface navigation.
-
E.
Saihat
Saihat is a coastal city in Saudi Arabia’s Eastern Province, known for its fishing heritage and proximity to major oil and industrial centers in the Gulf region.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438f9e5ac8190ba0b5820790112d9 |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180da5b808190857c51aaa2e85339 |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a01877483608190b311946ba05bcc94 |
completed | May 11, 2026, 7:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01880bad1c8190bdce946a04714ad3 |
completed | May 11, 2026, 7:40 a.m. |
Created at: April 10, 2026, 5:41 a.m.