Triple
T19132200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalhousie Law Students’ Society |
E468341
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
LSS
LSS is the student-run representative organization for law students at Dalhousie University’s Schulich School of Law.
|
E1359311
|
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: LSS | Statement: [Dalhousie Law Students’ Society, abbreviation, LSS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSS Context triple: [Dalhousie Law Students’ Society, abbreviation, LSS]
-
A.
LSS
LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
-
B.
LS
LS is a base trim level designation commonly used by Chevrolet for entry-level versions of its vehicles, including the Trailblazer.
-
C.
LS
LS is the common abbreviation and nickname for FC Lausanne-Sport, a professional football club based in Lausanne, Switzerland.
-
D.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
E.
LSA
LSA is the vehicle registration code used on license plates for the German federal state of Saxony-Anhalt.
- 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: LSS Triple: [Dalhousie Law Students’ Society, abbreviation, LSS]
Generated description
LSS is the student-run representative organization for law students at Dalhousie University’s Schulich School of Law.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LSS Target entity description: LSS is the student-run representative organization for law students at Dalhousie University’s Schulich School of Law.
-
A.
LSS
LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
-
B.
LS
LS is a base trim level designation commonly used by Chevrolet for entry-level versions of its vehicles, including the Trailblazer.
-
C.
LS
LS is the common abbreviation and nickname for FC Lausanne-Sport, a professional football club based in Lausanne, Switzerland.
-
D.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
E.
LSA
LSA is the vehicle registration code used on license plates for the German federal state of Saxony-Anhalt.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ea82f08190811ef35fbae744d1 |
completed | April 20, 2026, 8:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05e67f5ae881909d5c865b6c8ffdda |
completed | May 14, 2026, 3:13 p.m. |
| NEDg | Description generation | batch_6a05e9406ba48190a50f4ea6b413e1f4 |
completed | May 14, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e9c0d35081909b6ce3c287af5d5f |
completed | May 14, 2026, 3:26 p.m. |
Created at: April 10, 2026, 12:05 p.m.