Triple
T3897215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Armed Forces |
E90399
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SAF
SAF is the abbreviation commonly used for the Swiss Armed Forces, the military organization responsible for Switzerland’s national defense.
|
E397101
|
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: SAF | Statement: [Swiss Armed Forces, abbreviation, SAF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAF Context triple: [Swiss Armed Forces, abbreviation, SAF]
-
A.
SAF
SAF is the three-letter IATA airport code for Santa Fe Regional Airport in Santa Fe, New Mexico.
-
B.
SAFN
SAFN is a professional organization dedicated to advancing the anthropological study of food, nutrition, and related cultural practices.
-
C.
SAU
SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
-
D.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
-
E.
KSAF
KSAF is the ICAO airport code for Santa Fe Regional Airport, a public airport serving Santa Fe, New Mexico.
- 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: SAF Triple: [Swiss Armed Forces, abbreviation, SAF]
Generated description
SAF is the abbreviation commonly used for the Swiss Armed Forces, the military organization responsible for Switzerland’s national defense.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAF Target entity description: SAF is the abbreviation commonly used for the Swiss Armed Forces, the military organization responsible for Switzerland’s national defense.
-
A.
SAF
SAF is the three-letter IATA airport code for Santa Fe Regional Airport in Santa Fe, New Mexico.
-
B.
SAFN
SAFN is a professional organization dedicated to advancing the anthropological study of food, nutrition, and related cultural practices.
-
C.
SAU
SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
-
D.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
-
E.
KSAF
KSAF is the ICAO airport code for Santa Fe Regional Airport, a public airport serving Santa Fe, New Mexico.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecd34e608190bf1ca1d0c04562b2 |
completed | March 9, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c9e3db881909e865e52a842b1be |
completed | March 14, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_69b51d72707c8190a3522d449299ed1e |
completed | March 14, 2026, 8:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b51e08c7ac8190aab4b270258cdb69 |
completed | March 14, 2026, 8:36 a.m. |
Created at: March 9, 2026, 3:21 p.m.