Triple
T5912492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Global Women’s Issues |
E131494
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
S/GWI
S/GWI is the commonly used abbreviation for the U.S. Department of State’s Office of Global Women’s Issues, which leads diplomatic efforts to advance the rights and empowerment of women and girls worldwide.
|
E556061
|
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: S/GWI | Statement: [Office of Global Women’s Issues, abbreviation, S/GWI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S/GWI Context triple: [Office of Global Women’s Issues, abbreviation, S/GWI]
-
A.
GWI
GWI is the National Rail station code for Greenwich railway station in London, England.
-
B.
GWA
GWA is the public utility agency responsible for providing water and wastewater services across the island of Guam.
-
C.
SG
SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
-
D.
SG
SG is a postcode area in the United Kingdom covering parts of Hertfordshire and surrounding regions.
-
E.
SG
SG is the vehicle registration code used on license plates for Spain’s Segovia Province.
- 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: S/GWI Triple: [Office of Global Women’s Issues, abbreviation, S/GWI]
Generated description
S/GWI is the commonly used abbreviation for the U.S. Department of State’s Office of Global Women’s Issues, which leads diplomatic efforts to advance the rights and empowerment of women and girls worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S/GWI Target entity description: S/GWI is the commonly used abbreviation for the U.S. Department of State’s Office of Global Women’s Issues, which leads diplomatic efforts to advance the rights and empowerment of women and girls worldwide.
-
A.
GWI
GWI is the National Rail station code for Greenwich railway station in London, England.
-
B.
GWA
GWA is the public utility agency responsible for providing water and wastewater services across the island of Guam.
-
C.
SG
SG is the vehicle registration code used on license plates for the Swiss canton of St. Gallen.
-
D.
SG
SG is a postcode area in the United Kingdom covering parts of Hertfordshire and surrounding regions.
-
E.
SG
SG is the vehicle registration code used on license plates for Spain’s Segovia Province.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037b6f48c8190b60a32e5f64fe254 |
completed | March 22, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c01ddd30819088571c5b56dbae83 |
completed | March 23, 2026, 4:22 a.m. |
| NEDg | Description generation | batch_69c0c214d8988190a599d2b65072524f |
completed | March 23, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c30ef6c88190bb4afa41ae8f6a20 |
completed | March 23, 2026, 4:35 a.m. |
Created at: March 22, 2026, 3:59 p.m.