Triple
T8239323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L1A1 Self-Loading Rifle |
E192491
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
SLR
SLR is the common abbreviation for the L1A1 Self-Loading Rifle, a widely used British semi-automatic battle rifle derived from the FN FAL.
|
E720949
|
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: SLR | Statement: [L1A1 Self-Loading Rifle, alsoKnownAs, SLR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLR Context triple: [L1A1 Self-Loading Rifle, alsoKnownAs, SLR]
-
A.
SLR
SLR is the reporting mark and common abbreviation for the St. Lawrence and Atlantic Railroad, a regional freight railroad operating in the northeastern United States and Canada.
-
B.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
C.
SL
SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
-
D.
SL
SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
-
E.
SL
SL is a mid-range trim level of the Vauxhall Viva that added extra comfort and cosmetic features over the base model.
- 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: SLR Triple: [L1A1 Self-Loading Rifle, alsoKnownAs, SLR]
Generated description
SLR is the common abbreviation for the L1A1 Self-Loading Rifle, a widely used British semi-automatic battle rifle derived from the FN FAL.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SLR Target entity description: SLR is the common abbreviation for the L1A1 Self-Loading Rifle, a widely used British semi-automatic battle rifle derived from the FN FAL.
-
A.
SLR
SLR is the reporting mark and common abbreviation for the St. Lawrence and Atlantic Railroad, a regional freight railroad operating in the northeastern United States and Canada.
-
B.
SL1
SL1 is a Boston bus rapid transit route on the MBTA Silver Line that connects downtown with Logan International Airport.
-
C.
SL
SL is a UK postcode area covering Slough and surrounding parts of Berkshire and nearby counties.
-
D.
SL
SL is a mid-range trim level of the Vauxhall Viva that added extra comfort and cosmetic features over the base model.
-
E.
SL
SL is a mid-range trim level designation used by Holden for certain Torana models, offering additional comfort and convenience features over the base variants.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783cce5c8190bf116704d2923ade |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd350f57d48190ae2f24d136bb3eee |
completed | April 1, 2026, 3:09 p.m. |
| NEDg | Description generation | batch_69cd37a47f3c81909491e9b0316c32f0 |
completed | April 1, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4ecc8d68819099932b1ecefc0d36 |
completed | April 1, 2026, 4:58 p.m. |
Created at: March 30, 2026, 5:47 p.m.