Triple
T9735016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fellowship in Dental Surgery |
E236035
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
FDS
FDS is a prestigious postgraduate professional qualification in dentistry awarded by certain Royal Colleges and dental institutions.
|
E818616
|
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: FDS | Statement: [Fellowship in Dental Surgery, hasAbbreviation, FDS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FDS Context triple: [Fellowship in Dental Surgery, hasAbbreviation, FDS]
-
A.
FDT
"FDT" is a politically charged protest song by YG featuring Nipsey Hussle that criticizes Donald Trump and became an anthem of opposition during the 2016 U.S. presidential election.
-
B.
FSD
FSD is the IATA airport code for Sioux Falls Regional Airport, the primary commercial airport serving Sioux Falls, South Dakota.
-
C.
F.D.
F.D. is the standard abbreviation of the Latin title "Fidei Defensor," historically used by English and later British monarchs to denote their role as "Defender of the Faith."
-
D.
FCD
FCD is the commonly used abbreviation for FC Dordrecht, a professional football club based in Dordrecht, Netherlands.
-
E.
FAS
FAS is a U.S.-based nonprofit policy and research organization focused on science, technology, national security, and public policy issues.
- 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: FDS Triple: [Fellowship in Dental Surgery, hasAbbreviation, FDS]
Generated description
FDS is a prestigious postgraduate professional qualification in dentistry awarded by certain Royal Colleges and dental institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FDS Target entity description: FDS is a prestigious postgraduate professional qualification in dentistry awarded by certain Royal Colleges and dental institutions.
-
A.
FDT
"FDT" is a politically charged protest song by YG featuring Nipsey Hussle that criticizes Donald Trump and became an anthem of opposition during the 2016 U.S. presidential election.
-
B.
FSD
FSD is the IATA airport code for Sioux Falls Regional Airport, the primary commercial airport serving Sioux Falls, South Dakota.
-
C.
F.D.
F.D. is the standard abbreviation of the Latin title "Fidei Defensor," historically used by English and later British monarchs to denote their role as "Defender of the Faith."
-
D.
FCD
FCD is the commonly used abbreviation for FC Dordrecht, a professional football club based in Dordrecht, Netherlands.
-
E.
FAS
FAS is a U.S.-based nonprofit policy and research organization focused on science, technology, national security, and public policy issues.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eebcec08190a9d4606fd26f2e19 |
completed | April 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afce9834819090949690b4ca8622 |
completed | April 5, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d1b098c3348190a298cfe4921c8921 |
completed | April 5, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b124659481909e7a2ecaf01d8a50 |
completed | April 5, 2026, 12:47 a.m. |
Created at: March 30, 2026, 8:22 p.m.