Triple
T13042617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DARPA Young Faculty Award |
E327233
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
YFA
YFA is an acronym commonly used to refer to the DARPA Young Faculty Award, a program that supports early-career university researchers in high-risk, high-reward research areas.
|
E1017695
|
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: YFA | Statement: [DARPA Young Faculty Award, shortName, YFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YFA Context triple: [DARPA Young Faculty Award, shortName, YFA]
-
A.
YFC
YFC is the IATA airport code for Fredericton International Airport, which serves the city of Fredericton in New Brunswick, Canada.
-
B.
YFC
YFC is the abbreviated name commonly used for Yokohama FC, a professional Japanese football club based in Yokohama.
-
C.
YFB
YFB is the IATA airport code for Iqaluit Airport, the primary air gateway to Nunavut’s capital in northern Canada.
-
D.
Yoff
Yoff is a coastal commune and suburb of Dakar, Senegal, known for its fishing community and beaches along the Atlantic Ocean.
-
E.
F.Y.P
F.Y.P was an American punk rock band known for its fast, melodic songs and influential role in the 1990s DIY punk scene.
- 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: YFA Triple: [DARPA Young Faculty Award, shortName, YFA]
Generated description
YFA is an acronym commonly used to refer to the DARPA Young Faculty Award, a program that supports early-career university researchers in high-risk, high-reward research areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YFA Target entity description: YFA is an acronym commonly used to refer to the DARPA Young Faculty Award, a program that supports early-career university researchers in high-risk, high-reward research areas.
-
A.
YFC
YFC is the abbreviated name commonly used for Yokohama FC, a professional Japanese football club based in Yokohama.
-
B.
YFC
YFC is the IATA airport code for Fredericton International Airport, which serves the city of Fredericton in New Brunswick, Canada.
-
C.
YFB
YFB is the IATA airport code for Iqaluit Airport, the primary air gateway to Nunavut’s capital in northern Canada.
-
D.
Yoff
Yoff is a coastal commune and suburb of Dakar, Senegal, known for its fishing community and beaches along the Atlantic Ocean.
-
E.
F.Y.P
F.Y.P was an American punk rock band known for its fast, melodic songs and influential role in the 1990s DIY punk scene.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804f0318819081516e2ca1de6797 |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd5139c8190aaec6487f074f251 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6ce6278e081908864fba1db23ada0 |
completed | May 3, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6cf547b188190b24c51e06a3b4d3c |
completed | May 3, 2026, 4:30 a.m. |
Created at: April 9, 2026, 8:56 p.m.