Triple
T15271196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STMD |
E365023
|
entity |
| Predicate | overseesProgram |
P86
|
FINISHED |
| Object |
STTR
STTR is a NASA technology transfer and commercialization program that funds collaborative research and development between small businesses and research institutions.
|
E1257
|
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: STTR | Statement: [STMD, overseesProgram, STTR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STTR Context triple: [STMD, overseesProgram, STTR]
-
A.
STS
STS is an American rapper and songwriter known for his clever lyricism and collaborations with producer RJD2.
-
B.
STS
STS is the standard mission designation prefix used for NASA’s Space Shuttle flights, standing for Space Transportation System.
-
C.
TRST
TRST is an optional active-low reset signal used in JTAG (IEEE 1149.1) interfaces to asynchronously reset the test access port controller.
-
D.
Small Business Innovation Research program
The Small Business Innovation Research program is a U.S. government initiative that provides competitive funding to small businesses for research and development with strong commercialization potential.
-
E.
SSTLR
SSTLR is a student-edited law journal from Syracuse University College of Law that focuses on legal issues in science, technology, and related fields.
- 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: STTR Triple: [STMD, overseesProgram, STTR]
Generated description
STTR is a NASA technology transfer and commercialization program that funds collaborative research and development between small businesses and research institutions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: STTR Target entity description: STTR is a NASA technology transfer and commercialization program that funds collaborative research and development between small businesses and research institutions.
-
A.
STS
STS is an American rapper and songwriter known for his clever lyricism and collaborations with producer RJD2.
-
B.
STS
STS is the standard mission designation prefix used for NASA’s Space Shuttle flights, standing for Space Transportation System.
-
C.
TRST
TRST is an optional active-low reset signal used in JTAG (IEEE 1149.1) interfaces to asynchronously reset the test access port controller.
-
D.
Small Business Innovation Research program
chosen
The Small Business Innovation Research program is a U.S. government initiative that provides competitive funding to small businesses for research and development with strong commercialization potential.
-
E.
SSTLR
SSTLR is a student-edited law journal from Syracuse University College of Law that focuses on legal issues in science, technology, and related fields.
- F. None of above.
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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0094eac848190a1740ae1aa6b28e0 |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee6046a088190a9ebea7672e36b73 |
completed | May 9, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fee6b27b2c8190b6edc39dd1baf81a |
completed | May 9, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fee74980a48190ae6054c3feabcf0e |
completed | May 9, 2026, 7:50 a.m. |
Created at: April 10, 2026, 3:14 a.m.