Triple
T2669326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan South African Language Board |
E55711
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
PanSALB
PanSALB is a South African statutory body responsible for promoting and protecting the country’s official and marginalized languages.
|
E288130
|
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: PanSALB | Statement: [Pan South African Language Board, shortName, PanSALB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PanSALB Context triple: [Pan South African Language Board, shortName, PanSALB]
-
A.
PAN
PAN is the vehicle registration code assigned to the district of Rottal-Inn in Bavaria, Germany, which includes the town of Simbach am Inn.
-
B.
SA+P
SA+P is the Massachusetts Institute of Technology’s School of Architecture and Planning, encompassing programs in architecture, urban studies, planning, media, and design innovation.
-
C.
SABE
SABE is the ICAO airport code for Aeroparque Jorge Newbery, a major domestic and regional airport serving Buenos Aires, Argentina.
-
D.
Panamik
Panamik is a remote village in India’s Ladakh region, known for its hot springs and scenic location in the Nubra Valley near the Siachen Glacier.
-
E.
SEBL
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
- 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: PanSALB Triple: [Pan South African Language Board, shortName, PanSALB]
Generated description
PanSALB is a South African statutory body responsible for promoting and protecting the country’s official and marginalized languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PanSALB Target entity description: PanSALB is a South African statutory body responsible for promoting and protecting the country’s official and marginalized languages.
-
A.
PAN
PAN is the vehicle registration code assigned to the district of Rottal-Inn in Bavaria, Germany, which includes the town of Simbach am Inn.
-
B.
SA+P
SA+P is the Massachusetts Institute of Technology’s School of Architecture and Planning, encompassing programs in architecture, urban studies, planning, media, and design innovation.
-
C.
SABE
SABE is the ICAO airport code for Aeroparque Jorge Newbery, a major domestic and regional airport serving Buenos Aires, Argentina.
-
D.
Panamik
Panamik is a remote village in India’s Ladakh region, known for its hot springs and scenic location in the Nubra Valley near the Siachen Glacier.
-
E.
SEBL
SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98bacf48190b5633f1a3ec8f0cf |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa05d028c8190860587da07ea7e9b |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa0fef4c481908db42628cd6e72fe |
completed | March 10, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1fc3884819094503650206ec788 |
completed | March 10, 2026, 4:45 a.m. |
Created at: March 6, 2026, 9:54 p.m.