Triple
T2957010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scottish Football League |
E79955
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
SFL
SFL is the commonly used abbreviation for the Scottish Football League, the former governing body for professional league football in Scotland.
|
E313502
|
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: SFL | Statement: [Scottish Football League, shortName, SFL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SFL Context triple: [Scottish Football League, shortName, SFL]
-
A.
SLF
SLF is the Shuttle Landing Facility at NASA’s Kennedy Space Center, a specialized runway complex built for landing Space Shuttle orbiters and other aerospace vehicles.
-
B.
SFLC
SFLC is a legal organization that provides pro bono counsel and advocacy to protect and advance free and open-source software.
-
C.
FSL
FSL was the stock ticker symbol for Freescale Semiconductor, a former American manufacturer of embedded processors and semiconductor solutions.
-
D.
SFS
SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
-
E.
SFS
SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
- 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: SFL Triple: [Scottish Football League, shortName, SFL]
Generated description
SFL is the commonly used abbreviation for the Scottish Football League, the former governing body for professional league football in Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SFL Target entity description: SFL is the commonly used abbreviation for the Scottish Football League, the former governing body for professional league football in Scotland.
-
A.
SLF
SLF is the Shuttle Landing Facility at NASA’s Kennedy Space Center, a specialized runway complex built for landing Space Shuttle orbiters and other aerospace vehicles.
-
B.
SFLC
SFLC is a legal organization that provides pro bono counsel and advocacy to protect and advance free and open-source software.
-
C.
FSL
FSL was the stock ticker symbol for Freescale Semiconductor, a former American manufacturer of embedded processors and semiconductor solutions.
-
D.
SFS
SFS is a renowned Georgetown University school specializing in international affairs, diplomacy, and global policy education.
-
E.
SFS
SFS is the abbreviation for the Senior Foreign Service, the elite cadre of senior-ranking career diplomats in the United States Foreign Service.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992998f08190ac9428310983172e |
completed | March 8, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc8a10848190b8eec482252eb76b |
completed | March 11, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69b0fd407bd08190b62788e8d1cdd205 |
completed | March 11, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0fd91541c8190a481b55eb9b0ac35 |
completed | March 11, 2026, 5:28 a.m. |
Created at: March 8, 2026, 2:57 p.m.