Triple
T11930181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syracuse Science and Technology Law Reporter |
E283889
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
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.
|
E955592
|
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: SSTLR | Statement: [Syracuse Science and Technology Law Reporter, hasAbbreviation, SSTLR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SSTLR Context triple: [Syracuse Science and Technology Law Reporter, hasAbbreviation, SSTLR]
-
A.
SST
SST is a high-performance, sporty trim level of the AMC Javelin muscle car, featuring upgraded styling and performance-oriented features.
-
B.
SST
The Simonyi Survey Telescope (SST) is a wide-field optical telescope at the Vera C. Rubin Observatory designed to conduct rapid, repeated imaging of the night sky for large-scale astronomical surveys.
-
C.
SST
SST is the standard time observed in American Samoa, corresponding to the Samoa Time Zone.
-
D.
STLR
STLR is a student-run law journal at Stanford Law School that focuses on legal issues arising from science, technology, and innovation.
-
E.
SLST
SLST is the time zone used throughout Sri Lanka, corresponding to a fixed offset of UTC+5:30.
- 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: SSTLR Triple: [Syracuse Science and Technology Law Reporter, hasAbbreviation, SSTLR]
Generated description
SSTLR is a student-edited law journal from Syracuse University College of Law that focuses on legal issues in science, technology, and related fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SSTLR Target entity description: SSTLR is a student-edited law journal from Syracuse University College of Law that focuses on legal issues in science, technology, and related fields.
-
A.
SST
SST is the standard time observed in American Samoa, corresponding to the Samoa Time Zone.
-
B.
SST
SST is a high-performance, sporty trim level of the AMC Javelin muscle car, featuring upgraded styling and performance-oriented features.
-
C.
SST
The Simonyi Survey Telescope (SST) is a wide-field optical telescope at the Vera C. Rubin Observatory designed to conduct rapid, repeated imaging of the night sky for large-scale astronomical surveys.
-
D.
STLR
STLR is a student-run law journal at Stanford Law School that focuses on legal issues arising from science, technology, and innovation.
-
E.
SLST
SLST is the time zone used throughout Sri Lanka, corresponding to a fixed offset of UTC+5:30.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90303a9a88190a4044e6310ba9b4b |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4406ee910819093c72738bfe3f92c |
completed | May 1, 2026, 5:55 a.m. |
| NEDg | Description generation | batch_69f448fb898081908a8ffd0da703c0f9 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44b9e662881908549e041f6a05e38 |
completed | May 1, 2026, 6:43 a.m. |
Created at: April 8, 2026, 9:45 p.m.