Triple
T6638315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Shri Ram College for Women |
E150514
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
LSR
LSR is a prestigious women’s college in New Delhi, India, renowned for its academic excellence and affiliation with the University of Delhi.
|
E607017
|
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: LSR | Statement: [Lady Shri Ram College for Women, shortName, LSR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LSR Context triple: [Lady Shri Ram College for Women, shortName, LSR]
-
A.
LS
LS is a base trim level designation commonly used by Chevrolet for entry-level versions of its vehicles, including the Trailblazer.
-
B.
LS
LS is the common abbreviation and nickname for FC Lausanne-Sport, a professional football club based in Lausanne, Switzerland.
-
C.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
D.
LSN
LSN is the National Rail station code for Livingston North railway station in West Lothian, Scotland.
-
E.
LSL
LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
- 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: LSR Triple: [Lady Shri Ram College for Women, shortName, LSR]
Generated description
LSR is a prestigious women’s college in New Delhi, India, renowned for its academic excellence and affiliation with the University of Delhi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LSR Target entity description: LSR is a prestigious women’s college in New Delhi, India, renowned for its academic excellence and affiliation with the University of Delhi.
-
A.
LS
LS is a base trim level designation commonly used by Chevrolet for entry-level versions of its vehicles, including the Trailblazer.
-
B.
LS
LS is the common abbreviation and nickname for FC Lausanne-Sport, a professional football club based in Lausanne, Switzerland.
-
C.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
-
D.
LSN
LSN is the National Rail station code for Livingston North railway station in West Lothian, Scotland.
-
E.
LSL
LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff082b0819089f5a69aa67d5346 |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e453cb14819093597dda825b4304 |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e5b353c88190817b62290eefc382 |
completed | March 27, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e669830c8190bc881cb106125ec8 |
completed | March 27, 2026, 8:19 p.m. |
Created at: March 27, 2026, 2 p.m.