Triple
T11058201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanford Technology Law Review |
E261433
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
STLR
STLR is a student-run law journal at Stanford Law School that focuses on legal issues arising from science, technology, and innovation.
|
E902758
|
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: STLR | Statement: [Stanford Technology Law Review, abbreviation, STLR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STLR Context triple: [Stanford Technology Law Review, abbreviation, STLR]
-
A.
STLAM
STLAM is the stock ticker symbol for Stellantis, a multinational automotive manufacturer formed from the merger of Fiat Chrysler Automobiles and PSA Group.
-
B.
SLST
SLST is the time zone used throughout Sri Lanka, corresponding to a fixed offset of UTC+5:30.
-
C.
STRI
STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
-
D.
ST
ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
-
E.
ST
ST is the vehicle registration code used on license plates for vehicles registered in the Steinfurt district of Germany.
- 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: STLR Triple: [Stanford Technology Law Review, abbreviation, STLR]
Generated description
STLR is a student-run law journal at Stanford Law School that focuses on legal issues arising from science, technology, and innovation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: STLR Target entity description: STLR is a student-run law journal at Stanford Law School that focuses on legal issues arising from science, technology, and innovation.
-
A.
STLAM
STLAM is the stock ticker symbol for Stellantis, a multinational automotive manufacturer formed from the merger of Fiat Chrysler Automobiles and PSA Group.
-
B.
SLST
SLST is the time zone used throughout Sri Lanka, corresponding to a fixed offset of UTC+5:30.
-
C.
STRI
STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
-
D.
ST
ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
-
E.
ST
ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a2efa48190b290f43dfe836501 |
completed | April 9, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c86e0e6481908f091497313132c1 |
completed | April 18, 2026, 6:07 p.m. |
| NEDg | Description generation | batch_69e3cefc00148190a1850dc6e31523c3 |
completed | April 18, 2026, 6:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3d014a644819092c76aa02b573ca9 |
completed | April 18, 2026, 6:40 p.m. |
Created at: April 8, 2026, 9:26 p.m.